diff --git a/google_symptoms/delphi_google_symptoms/constants.py b/google_symptoms/delphi_google_symptoms/constants.py index 480878fbb..795ac3df7 100644 --- a/google_symptoms/delphi_google_symptoms/constants.py +++ b/google_symptoms/delphi_google_symptoms/constants.py @@ -1,5 +1,6 @@ """Registry for constants.""" -from datetime import timedelta + +from datetime import datetime, timedelta from delphi_utils import Smoother @@ -108,3 +109,7 @@ 'Wyoming': 'wy'} DC_FIPS = "11001" + +FULL_BKFILL_START_DATE = datetime.strptime("2020-02-20", "%Y-%m-%d") + +PAD_DAYS = 7 diff --git a/google_symptoms/delphi_google_symptoms/date_utils.py b/google_symptoms/delphi_google_symptoms/date_utils.py new file mode 100644 index 000000000..90a985275 --- /dev/null +++ b/google_symptoms/delphi_google_symptoms/date_utils.py @@ -0,0 +1,132 @@ +"""utility functions for date parsing.""" + +from datetime import date, datetime, timedelta +from itertools import product +from typing import Dict, List, Union + +import covidcast +from delphi_utils.validator.utils import lag_converter +from pandas import to_datetime + +from .constants import COMBINED_METRIC, FULL_BKFILL_START_DATE, PAD_DAYS, SMOOTHERS + + +def generate_patch_dates(params: Dict) -> Dict[date, Dict[str, Union[date, int]]]: + """ + Generate date range for chunking backfilled dates. + + Parameters + ---------- + params: dictionary parsed from params.json + + Returns + ------- + dict(date: dict(export date range settings)) + """ + issue_date = datetime.strptime(params["patch"]["start_issue"], "%Y-%m-%d") + end_date = datetime.strptime(params["patch"]["end_issue"], "%Y-%m-%d") + num_export_days = params["validation"]["common"].get("span_length", 14) + + patch_dates = dict() + while issue_date <= end_date: + global_max_expected_lag = get_max_lag(params) + export_end_date = issue_date - timedelta(days=global_max_expected_lag + 1) + export_start_date = issue_date - timedelta(days=num_export_days + global_max_expected_lag + 1) + + patch_dates[issue_date] = { + "export_start_date": export_start_date, + "export_end_date": export_end_date, + "num_export_days": num_export_days, + } + + issue_date += timedelta(days=1) + + return patch_dates + + +def get_max_lag(params: Dict) -> int: + """Determine reporting lag for data source.""" + max_expected_lag = lag_converter(params["validation"]["common"].get("max_expected_lag", {"all": 4})) + return max(list(max_expected_lag.values())) + + +def generate_num_export_days(params: Dict, logger) -> [int]: + """ + Generate dates for exporting based on current available data. + + Parameters + + ---------- + params: dictionary parsed from params.json + + Returns + ------- + num_export_days: int + """ + # If end_date not specified, use current date. + export_end_date = datetime.strptime( + params["indicator"].get("export_end_date", datetime.strftime(date.today(), "%Y-%m-%d")), "%Y-%m-%d" + ) + + # Generate a list of signals we expect to produce + sensor_names = set( + "_".join([metric, smoother, "search"]) for metric, smoother in product(COMBINED_METRIC, SMOOTHERS) + ) + + # Fetch metadata to check how recent each signal is + covidcast.use_api_key(params["indicator"]["api_credentials"]) + metadata = covidcast.metadata() + # Filter to only those signals we currently want to produce for `google-symptoms` + gs_metadata = metadata[(metadata.data_source == "google-symptoms") & (metadata.signal.isin(sensor_names))] + + num_export_days = params["indicator"]["num_export_days"] + custom_run = False if not params["common"].get("custom_run") else params["common"].get("custom_run", False) + + if num_export_days is None and not custom_run: + if sensor_names.difference(set(gs_metadata.signal)): + # If any signal not in metadata yet, we need to backfill its full history. + logger.warning("Signals missing in the epidata; backfilling full history") + num_export_days = (export_end_date - FULL_BKFILL_START_DATE).days + 1 + else: + latest_date_diff = (datetime.today() - to_datetime(min(gs_metadata.max_time))).days + 1 + global_max_expected_lag = get_max_lag(params) + expected_date_diff = params["validation"]["common"].get("span_length", 14) + global_max_expected_lag + + if latest_date_diff > expected_date_diff: + logger.info(f"Missing dates from: {to_datetime(min(gs_metadata.max_time)).date()}") + + num_export_days = expected_date_diff + + return num_export_days + + +def generate_query_dates( + export_start_date: date, export_end_date: date, num_export_days: int, custom_run_flag: bool +) -> List[date]: + """Produce date range to retrieve data for. + + Calculate start of date range as a static offset from the end date. + Pad date range by an additional `PAD_DAYS` days before the earliest date to + produce data for calculating smoothed estimates. + + Parameters + ---------- + export_start_date: date + first date to retrieve data for + export_end_date: date + last date to retrieve data for + num_export_days: int + number of days before end date to export + custom_run_flag: bool + flag to indicate if the date should be taken from export or calculated based on if it's a patch or regular run + + Returns + ------- + List[date, date] + """ + start_date = export_start_date + if not custom_run_flag: + start_date = export_end_date - timedelta(days=num_export_days) + retrieve_dates = [start_date - timedelta(days=PAD_DAYS - 1), export_end_date] + + return retrieve_dates diff --git a/google_symptoms/delphi_google_symptoms/patch.py b/google_symptoms/delphi_google_symptoms/patch.py new file mode 100755 index 000000000..520973a89 --- /dev/null +++ b/google_symptoms/delphi_google_symptoms/patch.py @@ -0,0 +1,92 @@ +""" +This module is used for patching data in the delphi_google_symptom package. + +To use this module, you need to specify the range of issue dates in params.json, like so: + +{ + "common": { + ... + "custom_run": true + }, + "validation": { + ... + }, + "patch": { + "patch_dir": ".../covidcast-indicators/google-symptoms/AprilPatch", + "start_issue": "2024-04-20", + "end_issue": "2024-04-21" + } +} + +It will generate data for that range of issue dates, and store them in batch issue format: +[params patch_dir]/issue_[issue-date]/google-symptoms/xxx.csv +""" + +from datetime import datetime, timedelta +from os import makedirs + +from delphi_utils import get_structured_logger, read_params + +from .date_utils import generate_patch_dates +from .run import run_module + + +def patch(params): + """ + Run the google symptoms indicator for a range of issue dates. + + Parameters + ---------- + params + Dictionary containing indicator configuration. Expected to have the following structure: + - "common": + - "export_dir": str, directory to write output + - "log_exceptions" (optional): bool, whether to log exceptions to file + - "log_filename" (optional): str, name of file to write logs + - "indicator": + - "export_start_date": str, YYYY-MM-DD format, date from which to export data + - "num_export_days": int, number of days before end date (today) to export + - "path_to_bigquery_credentials": str, path to BigQuery API key and service account + JSON file + - "patch": Only used for patching data + - "start_date": str, YYYY-MM-DD format, first issue date + - "end_date": str, YYYY-MM-DD format, last issue date + - "patch_dir": str, directory to write all issues output + """ + logger = get_structured_logger("delphi_google_symptom.patch", filename=params["common"]["log_filename"]) + + issue_date = datetime.strptime(params["patch"]["start_issue"], "%Y-%m-%d") + end_issue = datetime.strptime(params["patch"]["end_issue"], "%Y-%m-%d") + + logger.info(f"""Start patching {params["patch"]["patch_dir"]}""") + logger.info(f"""Start issue: {issue_date.strftime("%Y-%m-%d")}""") + logger.info(f"""End issue: {end_issue.strftime("%Y-%m-%d")}""") + + makedirs(params["patch"]["patch_dir"], exist_ok=True) + + patch_dates = generate_patch_dates(params) + + while issue_date <= end_issue: + logger.info(f"""Running issue {issue_date.strftime("%Y-%m-%d")}""") + + # Output dir setup + current_issue_yyyymmdd = issue_date.strftime("%Y%m%d") + current_issue_dir = f"""{params["patch"]["patch_dir"]}/issue_{current_issue_yyyymmdd}/google-symptom""" + makedirs(f"{current_issue_dir}", exist_ok=True) + + params["common"]["export_dir"] = f"""{current_issue_dir}""" + params["indicator"]["custom_run"] = True + + date_settings = patch_dates[issue_date] + + params["indicator"]["export_start_date"] = date_settings["export_start_date"].strftime("%Y-%m-%d") + params["indicator"]["export_end_date"] = date_settings["export_end_date"].strftime("%Y-%m-%d") + params["indicator"]["num_export_days"] = date_settings["num_export_days"] + + run_module(params, logger) + + issue_date += timedelta(days=1) + + +if __name__ == "__main__": + patch(read_params()) diff --git a/google_symptoms/delphi_google_symptoms/pull.py b/google_symptoms/delphi_google_symptoms/pull.py index d5921a3e4..4ad7a8442 100644 --- a/google_symptoms/delphi_google_symptoms/pull.py +++ b/google_symptoms/delphi_google_symptoms/pull.py @@ -1,14 +1,15 @@ """Retrieve data and wrangle into appropriate format.""" # -*- coding: utf-8 -*- import re -from datetime import date, datetime, timedelta # pylint: disable=unused-import -import pandas_gbq -from google.oauth2 import service_account +from datetime import date, datetime # pylint: disable=unused-import + import numpy as np import pandas as pd +import pandas_gbq +from google.oauth2 import service_account -from .constants import DC_FIPS, METRICS, COMBINED_METRIC, SYMPTOM_SETS, DTYPE_CONVERSIONS - +from .constants import COMBINED_METRIC, DC_FIPS, DTYPE_CONVERSIONS, METRICS, SYMPTOM_SETS +from .date_utils import generate_query_dates # Create map of BigQuery symptom column names to desired column names. colname_map = {"symptom_" + @@ -95,45 +96,6 @@ def preprocess(df, level): return df -def get_date_range(export_start_date, export_end_date, num_export_days): - """Produce date range to retrieve data for. - - Calculate start of date range as a static offset from the end date. - Pad date range by an additional 7 days before the earliest date to - produce data for calculating smoothed estimates. - - Parameters - ---------- - export_start_date: date - first date to retrieve data for - export_end_date: date - last date to retrieve data for - num_export_days: int - number of days before end date to export - - Returns - ------- - list - """ - PAD_DAYS = 7 - - if num_export_days == "all": - # Get all dates since export_start_date. - start_date = export_start_date - else: - # Don't fetch data before the user-set start date. - start_date = max( - export_end_date - timedelta(days=num_export_days), - export_start_date - ) - - retrieve_dates = [ - start_date - timedelta(days=PAD_DAYS - 1), - export_end_date] - - return retrieve_dates - - def format_dates_for_query(date_list): """Format list of dates as needed for query. @@ -224,7 +186,6 @@ def pull_gs_data_one_geolevel(level, date_range): query = produce_query(level, date_range) df = pandas_gbq.read_gbq(query, progress_bar_type=None, dtypes = DTYPE_CONVERSIONS) - if len(df) == 0: df = pd.DataFrame( columns=["open_covid_region_code", "date"] + @@ -254,7 +215,7 @@ def initialize_credentials(credentials): pandas_gbq.context.project = credentials.project_id -def pull_gs_data(credentials, export_start_date, export_end_date, num_export_days): +def pull_gs_data(credentials, export_start_date, export_end_date, num_export_days, custom_run_flag): """Pull latest dataset for each geo level and combine. PS: No information for PR @@ -277,9 +238,8 @@ def pull_gs_data(credentials, export_start_date, export_end_date, num_export_day dict: {"county": pd.DataFrame, "state": pd.DataFrame} """ # Fetch and format dates we want to attempt to retrieve - retrieve_dates = get_date_range( - export_start_date, export_end_date, num_export_days) - retrieve_dates = format_dates_for_query(retrieve_dates) + export_date_range = generate_query_dates(export_start_date, export_end_date, num_export_days, custom_run_flag) + retrieve_dates = format_dates_for_query(export_date_range) initialize_credentials(credentials) diff --git a/google_symptoms/delphi_google_symptoms/run.py b/google_symptoms/delphi_google_symptoms/run.py index 27032f349..536593c4a 100644 --- a/google_symptoms/delphi_google_symptoms/run.py +++ b/google_symptoms/delphi_google_symptoms/run.py @@ -7,25 +7,17 @@ import time from datetime import datetime, date from itertools import product -import covidcast import numpy as np -from pandas import to_datetime -from delphi_utils import ( - create_export_csv, - get_structured_logger -) -from delphi_utils.validator.utils import lag_converter +from delphi_utils import create_export_csv, get_structured_logger -from .constants import (COMBINED_METRIC, - GEO_RESOLUTIONS, SMOOTHERS, SMOOTHERS_MAP) +from .constants import COMBINED_METRIC, GEO_RESOLUTIONS, SMOOTHERS, SMOOTHERS_MAP +from .date_utils import generate_num_export_days from .geo import geo_map from .pull import pull_gs_data -# pylint: disable=R0912 -# pylint: disable=R0915 -def run_module(params): +def run_module(params, logger=None): """ Run Google Symptoms module. @@ -46,62 +38,35 @@ def run_module(params): start_time = time.time() csv_export_count = 0 oldest_final_export_date = None - - export_start_date = datetime.strptime( - params["indicator"]["export_start_date"], "%Y-%m-%d") - # If end_date not specified, use current date. - export_end_date = datetime.strptime( - params["indicator"].get( - "export_end_date", datetime.strftime(date.today(), "%Y-%m-%d") - ), "%Y-%m-%d") - export_dir = params["common"]["export_dir"] - num_export_days = params["indicator"]["num_export_days"] - if num_export_days is None: - # Generate a list of signals we expect to produce - sensor_names = set( - "_".join([metric, smoother, "search"]) - for metric, smoother in product(COMBINED_METRIC, SMOOTHERS) + if logger is None: + logger = get_structured_logger( + __name__, + filename=params["common"].get("log_filename"), + log_exceptions=params["common"].get("log_exceptions", True), ) - # Fetch metadata to check how recent each signal is - covidcast.use_api_key(params["indicator"]["api_credentials"]) - metadata = covidcast.metadata() - # Filter to only those we currently want to produce, ignore any old or deprecated signals - gs_metadata = metadata[(metadata.data_source == "google-symptoms") & - (metadata.signal.isin(sensor_names))] - - if sensor_names.difference(set(gs_metadata.signal)): - # If any signal not in metadata yet, we need to backfill its full history. - num_export_days = "all" - else: - # Calculate number of days based on what's missing from the API and - # what the validator expects. - max_expected_lag = lag_converter( - params["validation"]["common"].get("max_expected_lag", {"all": 4}) - ) - global_max_expected_lag = max( list(max_expected_lag.values()) ) - - # Select the larger number of days. Prevents validator from complaining about - # missing dates, and backfills in case of an outage. - num_export_days = max( - (datetime.today() - to_datetime(min(gs_metadata.max_time))).days + 1, - params["validation"]["common"].get("span_length", 14) + global_max_expected_lag - ) - if num_export_days == "all": - num_export_days = (export_end_date - export_start_date).days + 1 + export_start_date = datetime.strptime(params["indicator"]["export_start_date"], "%Y-%m-%d") + # If end_date not specified, use current date. + export_end_date = datetime.strptime( + params["indicator"].get("export_end_date", datetime.strftime(date.today(), "%Y-%m-%d")), "%Y-%m-%d" + ) - logger = get_structured_logger( - __name__, filename=params["common"].get("log_filename"), - log_exceptions=params["common"].get("log_exceptions", True)) + num_export_days = generate_num_export_days(params, logger) + # safety check for patch parameters exists in file, but not running custom runs/patches + custom_run_flag = ( + False if not params["indicator"].get("custom_run", False) else params["indicator"].get("custom_run", False) + ) # Pull GS data - dfs = pull_gs_data(params["indicator"]["bigquery_credentials"], - export_start_date, - export_end_date, - num_export_days) - + dfs = pull_gs_data( + params["indicator"]["bigquery_credentials"], + export_start_date, + export_end_date, + num_export_days, + custom_run_flag, + ) for geo_res in GEO_RESOLUTIONS: if geo_res == "state": df_pull = dfs["state"] @@ -128,8 +93,8 @@ def run_module(params): df = df.loc[~df["val"].isnull(), :] df = df.reset_index() sensor_name = "_".join([smoother, "search"]) - if len(df) == 0: + logger.info("No data for %s_%s_%s", geo_res, metric.lower(), sensor_name) continue exported_csv_dates = create_export_csv( df, diff --git a/google_symptoms/tests/conftest.py b/google_symptoms/tests/conftest.py index 98835f7ef..f7b3ee5c0 100644 --- a/google_symptoms/tests/conftest.py +++ b/google_symptoms/tests/conftest.py @@ -1,16 +1,19 @@ # -*- coding: utf-8 -*- +import logging +from pathlib import Path +import copy import pytest import mock import pandas as pd from os import listdir, remove, makedirs from os.path import join, exists -from datetime import datetime import delphi_google_symptoms from delphi_google_symptoms.constants import METRICS +TEST_DIR = Path(__file__).parent # Set up fake data so that tests don't require BigQuery # credentials to run. @@ -38,8 +41,14 @@ # where timestamp(date) between timestamp("2020-07-26") and timestamp("2020-08-11") good_input = { - "state": "test_data/small_states_daily.csv", - "county": "test_data/small_counties_daily.csv" + "state": f"{TEST_DIR}/test_data/small_states_daily.csv", + "county": f"{TEST_DIR}/test_data/small_counties_daily.csv" +} + +patch_input = { + "state": f"{TEST_DIR}/test_data/state_2024-05-16_2024-07-18.csv", + "county": f"{TEST_DIR}/test_data/county_2024-05-16_2024-07-18.csv" + } symptom_names = ["symptom_" + @@ -51,20 +60,61 @@ good_input["county"], parse_dates=["date"])[keep_cols] +state_data_gap = pd.read_csv(patch_input["state"], parse_dates=["date"])[keep_cols] + +covidcast_backfill_metadata = pd.read_csv(f"{TEST_DIR}/test_data/covid_metadata_backfill.csv", + parse_dates=["max_time", "min_time", "max_issue", "last_update"]) +covidcast_metadata = pd.read_csv(f"{TEST_DIR}/test_data/covid_metadata.csv", + parse_dates=["max_time", "min_time", "max_issue", "last_update"]) + +NEW_DATE = "2024-02-20" +@pytest.fixture(scope="session") +def logger(): + return logging.getLogger() @pytest.fixture(scope="session") -def run_as_module(): +def params(): params = { "common": { - "export_dir": "./receiving" + "export_dir": f"{TEST_DIR}/receiving", + "log_filename": f"{TEST_DIR}/test.log", }, "indicator": { "export_start_date": "2020-02-20", - "num_export_days": 14, "bigquery_credentials": {}, - "static_file_dir": "../static" + "num_export_days": 14, + "static_file_dir": "../static", + "api_credentials": "fakesecret" + }, + "validation": { + "common": { + "span_length": 14, + "min_expected_lag": {"all": "3"}, + "max_expected_lag": {"all": "4"}, + } } } + return copy.deepcopy(params) + +@pytest.fixture +def params_w_patch(params): + params_copy = copy.deepcopy(params) + params_copy["patch"] = { + "start_issue": "2024-06-27", + "end_issue": "2024-06-29", + "patch_dir": "./patch_dir" + } + return params_copy + +@pytest.fixture +def params_w_no_date(params): + params_copy = copy.deepcopy(params) + params_copy["indicator"]["num_export_days"] = None + return params_copy + + +@pytest.fixture(scope="session") +def run_as_module(params): if exists("receiving"): # Clean receiving directory for fname in listdir("receiving"): @@ -73,7 +123,8 @@ def run_as_module(): makedirs("receiving") with mock.patch("delphi_google_symptoms.pull.initialize_credentials", - return_value=None) as mock_credentials: - with mock.patch("pandas_gbq.read_gbq", side_effect=[ - state_data, county_data]) as mock_read_gbq: - delphi_google_symptoms.run.run_module(params) + return_value=None), \ + mock.patch("pandas_gbq.read_gbq", side_effect=[state_data, county_data]), \ + mock.patch("delphi_google_symptoms.pull.initialize_credentials", return_value=None), \ + mock.patch("delphi_google_symptoms.date_utils.covidcast.metadata", return_value=covidcast_metadata): + delphi_google_symptoms.run.run_module(params) \ No newline at end of file diff --git a/google_symptoms/tests/test_data/covid_metadata.csv b/google_symptoms/tests/test_data/covid_metadata.csv new file mode 100644 index 000000000..ac74bbbaf --- /dev/null +++ b/google_symptoms/tests/test_data/covid_metadata.csv @@ -0,0 +1,2473 @@ +data_source,signal,time_type,geo_type,min_time,max_time,num_locations,min_value,max_value,mean_value,stdev_value,last_update,max_issue,min_lag,max_lag +chng,7dav_inpatient_covid,day,state,2020-01-01,2023-08-01,58,0.0,1.0,0.0379778,0.046107,2024-04-01 09:24:40,20230801,0,1308 +chng,7dav_outpatient_covid,day,state,2019-01-01,2023-08-01,56,0.0,1.0,0.0057763,0.0102741,2024-04-01 09:24:40,20230801,0,1673 +chng,smoothed_adj_outpatient_cli,day,county,2020-02-01,2024-02-14,3119,0.0009331,99.9980495,1.9238237,3.7179059,2024-02-20 03:40:32,20240219,3,674 +chng,smoothed_adj_outpatient_cli,day,hhs,2020-02-01,2024-02-14,10,0.0061953,99.9996572,2.1786572,2.9502248,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_cli,day,hrr,2020-02-01,2024-02-14,306,0.0010292,50.815903,1.9914499,2.5739816,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_cli,day,msa,2020-02-01,2024-02-14,392,0.0007662,99.9989806,1.8325651,2.7690113,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_cli,day,nation,2020-02-01,2024-02-14,1,0.0154639,12.0869746,2.3476915,2.2792631,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_cli,day,state,2020-02-01,2024-02-14,55,0.0013343,99.9995633,1.9595093,2.8460771,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,county,2020-02-01,2024-02-14,3118,0.0007317,99.7382199,0.7897597,1.2604588,2024-02-20 03:40:33,20240219,3,674 +chng,smoothed_adj_outpatient_covid,day,hhs,2020-02-01,2024-02-14,10,9.94e-05,47.1757678,0.758748,1.2752592,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,hrr,2020-02-01,2024-02-14,306,0.0004377,50.3590956,0.7379263,0.9213437,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,msa,2020-02-01,2024-02-14,392,0.0003621,84.2126626,0.7507935,1.2899205,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,nation,2020-02-01,2024-02-14,1,0.0002647,29.0740775,0.7761674,1.1225822,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,state,2020-02-01,2024-02-14,55,0.0001764,99.984985,0.799901,2.2962465,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_flu,day,county,2020-02-01,2024-02-14,3118,0.0007864,99.8031496,0.2200146,0.5945624,2024-02-20 03:40:33,20240219,4,674 +chng,smoothed_adj_outpatient_flu,day,hhs,2020-02-01,2024-02-14,10,0.0001256,2.9665199,0.129573,0.2910451,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_flu,day,hrr,2020-02-01,2024-02-14,306,0.0006665,7.3989023,0.157989,0.3502602,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_flu,day,msa,2020-02-01,2024-02-14,392,0.0005895,9.1334945,0.1593255,0.3449737,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_flu,day,nation,2020-02-01,2024-02-14,1,0.0042567,2.1340409,0.1410768,0.2817595,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_flu,day,state,2020-02-01,2024-02-14,55,0.0003211,5.0601173,0.1349185,0.3161708,2024-02-20 03:40:38,20240219,5,674 +chng,smoothed_outpatient_cli,day,county,2020-02-01,2024-02-14,3119,0.0008986,99.911661,1.7494246,3.2141828,2024-02-20 03:40:34,20240219,3,674 +chng,smoothed_outpatient_cli,day,hhs,2020-02-01,2024-02-14,10,0.0057532,21.7526533,2.1935759,2.4568923,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_outpatient_cli,day,hrr,2020-02-01,2024-02-14,306,0.0010292,54.076492,2.0121518,2.5913195,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_outpatient_cli,day,msa,2020-02-01,2024-02-14,392,0.0007571,54.213362,1.7692415,2.3668653,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_outpatient_cli,day,nation,2020-02-01,2024-02-14,1,0.014286,13.183495,2.4016659,2.3445632,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_outpatient_cli,day,state,2020-02-01,2024-02-14,55,0.0012136,38.0980677,1.976939,2.4902626,2024-02-20 03:40:38,20240219,5,674 +chng,smoothed_outpatient_covid,day,county,2020-02-01,2024-02-14,3118,0.0007317,99.7382199,0.7295667,1.1518214,2024-02-20 03:40:35,20240219,3,674 +chng,smoothed_outpatient_covid,day,hhs,2020-02-01,2024-02-14,10,0.0001026,7.902697,0.7473772,0.7532255,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_outpatient_covid,day,hrr,2020-02-01,2024-02-14,306,0.0004265,13.8813489,0.75981,0.8821325,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_outpatient_covid,day,msa,2020-02-01,2024-02-14,392,0.0003196,15.0058502,0.6983567,0.8724389,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_outpatient_covid,day,nation,2020-02-01,2024-02-14,1,0.0002781,5.7484116,0.7763361,0.7077705,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_outpatient_covid,day,state,2020-02-01,2024-02-14,55,0.0001764,10.9664911,0.7277603,0.824994,2024-02-20 03:40:38,20240219,5,674 +chng,smoothed_outpatient_flu,day,county,2020-02-01,2024-02-14,3118,0.0007864,99.8031496,0.2120383,0.5747436,2024-02-20 03:40:35,20240219,4,674 +chng,smoothed_outpatient_flu,day,hhs,2020-02-01,2024-02-14,10,0.0001256,3.3283321,0.1325491,0.2889045,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_outpatient_flu,day,hrr,2020-02-01,2024-02-14,306,0.0007358,7.7181903,0.1580634,0.3454277,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_outpatient_flu,day,msa,2020-02-01,2024-02-14,392,0.0005895,7.7881801,0.1547919,0.327931,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_outpatient_flu,day,nation,2020-02-01,2024-02-14,1,0.0042154,1.8960681,0.1439693,0.2751247,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_outpatient_flu,day,state,2020-02-01,2024-02-14,55,0.0003211,5.2040069,0.1365516,0.3116242,2024-02-20 03:40:38,20240219,5,674 +covid-act-now,pcr_specimen_positivity_rate,day,county,2020-03-01,2021-12-02,3126,0.0,1.0,0.0979475,0.0903481,2021-12-10 17:59:11,20211210,2,529 +covid-act-now,pcr_specimen_positivity_rate,day,hhs,2020-03-01,2021-12-02,10,0.0,0.65,0.0806975,0.0559965,2021-12-10 17:59:14,20211210,8,585 +covid-act-now,pcr_specimen_positivity_rate,day,hrr,2020-03-01,2021-12-02,306,0.0,1.0,0.0864302,0.069691,2021-12-10 17:59:15,20211210,4,599 +covid-act-now,pcr_specimen_positivity_rate,day,msa,2020-03-01,2021-12-02,384,0.0,1.0,0.087359,0.0711056,2021-12-10 17:59:15,20211210,3,529 +covid-act-now,pcr_specimen_positivity_rate,day,nation,2020-03-01,2021-12-02,1,0.0180044,0.2183382,0.0809607,0.0406573,2021-12-10 17:59:15,20211210,8,529 +covid-act-now,pcr_specimen_positivity_rate,day,state,2020-03-01,2021-12-02,51,0.0,1.0,0.0834229,0.0659636,2021-12-10 17:59:15,20211210,3,585 +covid-act-now,pcr_specimen_total_tests,day,county,2020-03-01,2021-12-02,3126,0.14,161333.71,338.7239566,1757.0608222,2021-12-10 17:59:13,20211210,2,428 +covid-act-now,pcr_specimen_total_tests,day,hhs,2020-03-01,2021-12-02,10,2.0,387262.01,98225.6981138,78754.8915,2021-12-10 17:59:15,20211210,8,585 +covid-act-now,pcr_specimen_total_tests,day,hrr,2020-03-01,2021-12-02,306,1.55e-05,161288.2579186,3240.5090482,6316.7070508,2021-12-10 17:59:15,20211210,4,526 +covid-act-now,pcr_specimen_total_tests,day,msa,2020-03-01,2021-12-02,384,0.14,174380.71,2342.0841463,7999.6725139,2021-12-10 17:59:15,20211210,2,428 +covid-act-now,pcr_specimen_total_tests,day,nation,2020-03-01,2021-12-02,1,1433.8,1768763.07,981518.2845639,460852.3824205,2021-12-10 17:59:15,20211210,8,428 +covid-act-now,pcr_specimen_total_tests,day,state,2020-03-01,2021-12-02,51,0.14,344887.85,19433.6865717,31650.7665229,2021-12-10 17:59:15,20211210,2,585 +doctor-visits,smoothed_adj_cli,day,county,2020-02-01,2024-07-12,2594,0.0,87.670832,2.3358112,3.5540203,2024-07-17 00:18:37,20240716,2,129 +doctor-visits,smoothed_adj_cli,day,hhs,2020-02-01,2024-07-12,10,0.071857,31.731976,2.8805662,3.4617466,2024-07-17 00:18:40,20240716,4,126 +doctor-visits,smoothed_adj_cli,day,hrr,2020-02-01,2024-07-12,306,0.0,62.072299,2.6495845,3.6460135,2024-07-17 00:18:43,20240716,4,129 +doctor-visits,smoothed_adj_cli,day,msa,2020-02-01,2024-07-12,384,0.0,83.92411,2.4590565,3.5400049,2024-07-17 00:18:45,20240716,4,129 +doctor-visits,smoothed_adj_cli,day,nation,2020-02-01,2024-07-12,1,0.120549,21.575689,3.0877363,3.4208281,2024-07-17 00:18:48,20240716,4,126 +doctor-visits,smoothed_adj_cli,day,state,2020-02-01,2024-07-12,53,0.0,79.135443,2.6750998,3.9470251,2024-07-17 00:18:50,20240716,3,129 +doctor-visits,smoothed_cli,day,county,2020-02-01,2024-07-12,2594,0.0,76.569615,1.9889825,3.0497556,2024-07-17 00:18:39,20240716,2,129 +doctor-visits,smoothed_cli,day,hhs,2020-02-01,2024-07-12,10,0.055393,35.777605,3.1877169,3.8427966,2024-07-17 00:18:42,20240716,4,126 +doctor-visits,smoothed_cli,day,hrr,2020-02-01,2024-07-12,306,0.0,52.474626,2.5259156,3.5549362,2024-07-17 00:18:44,20240716,4,129 +doctor-visits,smoothed_cli,day,msa,2020-02-01,2024-07-12,385,0.0,65.645487,2.2165108,3.2350177,2024-07-17 00:18:47,20240716,4,129 +doctor-visits,smoothed_cli,day,nation,2020-02-01,2024-07-12,1,0.120689,26.252728,3.4213596,3.8325068,2024-07-17 00:18:49,20240716,4,126 +doctor-visits,smoothed_cli,day,state,2020-02-01,2024-07-12,53,0.0,61.764374,2.8345543,3.9843822,2024-07-17 00:18:52,20240716,3,129 +dsew-cpr,booster_doses_admin_7dav,day,hhs,2021-11-01,2023-02-22,10,360.8571429,211419.2857143,25422.797562,37932.1282922,2023-02-24 16:51:39,20230224,1,182 +dsew-cpr,booster_doses_admin_7dav,day,nation,2021-11-01,2023-02-22,1,14740.2857143,1100514.8571429,257525.9704433,312271.1870132,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,booster_doses_admin_7dav,day,state,2021-11-01,2023-02-22,56,0.0,194532.1428571,4613.3131688,11601.9151563,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,county,2021-01-07,2023-02-21,3272,0.0,825.5714285714286,2.3294191,9.6538384,2023-02-24 16:51:16,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,hhs,2020-12-16,2023-02-21,10,23.2857143,4990.0,667.6785049,780.5578655,2023-02-24 16:51:30,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,msa,2021-01-07,2023-02-21,392,0.0,1902.7142857142856,14.2411998,42.714571,2023-02-24 16:51:31,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,nation,2020-12-16,2023-02-21,1,1338.2857143,21086.1428571,6676.7850488,4537.105663,2023-02-24 16:51:32,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,state,2020-12-16,2023-02-21,56,0.0,2379.0,119.5731249,215.9007672,2023-02-24 16:51:32,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,county,2021-01-07,2023-02-21,3219,0.0,569.2346462,1.8762013,4.3113657,2023-02-24 16:51:24,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,hhs,2020-12-16,2023-02-21,10,0.1568329,8.1781998,1.863108,1.4513172,2023-02-24 16:51:30,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,msa,2021-01-07,2023-02-21,392,0.0,52.2139965155508,2.1629876,2.5039056,2023-02-24 16:51:32,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,nation,2020-12-16,2023-02-21,1,0.4005607,6.3112681,1.9984205,1.3579956,2023-02-24 16:51:32,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,state,2020-12-16,2023-02-21,56,0.0,35.7918347,1.9012573,1.9888021,2023-02-24 16:51:33,20230224,3,502 +dsew-cpr,covid_naat_pct_positive_7dav,day,county,2020-12-07,2023-02-20,3198,0.0,1.0,0.1155519,0.0997406,2023-02-24 16:51:15,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,hhs,2020-12-07,2023-02-20,10,0.004,0.436,0.0919346,0.0679411,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,msa,2020-12-07,2023-02-20,392,0.0,1.0,0.1084464,0.0916635,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,nation,2020-12-07,2023-02-20,1,0.0197007,0.3145435,0.097572,0.0623476,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,state,2020-12-07,2023-02-20,55,0.0,0.946,0.0997204,0.0823642,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,doses_admin_7dav,day,hhs,2021-05-02,2023-02-22,10,-25415.0,416729.2857143,70956.6438044,69418.1294544,2023-02-24 16:51:39,20230224,1,365 +dsew-cpr,doses_admin_7dav,day,nation,2021-05-02,2023-02-22,1,84396.2857143,2405770.1428571,706882.2067602,508222.8169732,2023-02-24 16:51:40,20230224,1,365 +dsew-cpr,doses_admin_7dav,day,state,2021-05-02,2023-02-22,56,-34912.7142857,340911.8571429,12732.1491109,23061.218246,2023-02-24 16:51:40,20230224,1,365 +dsew-cpr,people_booster_doses,day,hhs,2021-11-01,2023-02-22,10,798354.0,21409818.0,9252301.1570292,5435063.9417483,2023-02-24 16:51:39,20230224,1,182 +dsew-cpr,people_booster_doses,day,nation,2021-11-01,2023-02-22,1,19141580.0,117047500.0,92522945.6153846,24244972.5200394,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,people_booster_doses,day,state,2021-11-01,2023-02-22,56,143.0,17335732.0,1652195.4574176,2259512.8844226,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,people_full_vaccinated,day,county,2021-04-12,2023-02-22,3272,18.0,7519699.0,59563.0639614,211223.6154859,2023-02-24 16:51:33,20230224,1,385 +dsew-cpr,people_full_vaccinated,day,hhs,2021-01-15,2023-02-22,10,62625.0,41839198.0,17210344.7447526,11586031.1172692,2023-02-24 16:51:39,20230224,1,472 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13:15:33,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,hhs,2020-02-20,2024-07-13,10,2.1692694,6.0588907,3.5622185,0.4422332,2024-07-17 13:15:33,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,hrr,2020-02-20,2024-07-13,306,0.0,6.844638,3.1042179,0.8640953,2024-07-17 13:15:35,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,msa,2020-02-20,2024-07-13,384,0.0,7.3748571,3.4726074,0.7844,2024-07-17 13:15:36,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,nation,2020-02-20,2024-07-13,1,2.7735218,5.4817889,3.6667235,0.2933651,2024-07-17 13:15:36,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,state,2020-02-20,2024-07-13,51,1.4714286,6.9245714,3.6065001,0.5602287,2024-07-17 13:15:37,20240717,4,732 +google-symptoms,sum_anosmia_ageusia_raw_search,day,county,2020-02-13,2022-01-20,109,0.03,9.370000000000001,0.3426697,0.2744206,2022-01-24 14:03:00,20220124,4,336 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+google-symptoms,sum_anosmia_ageusia_smoothed_search,day,county,2020-02-20,2022-01-20,109,0.04999999999999999,5.484285714285714,0.3699355,0.2612152,2022-01-24 14:03:00,20220124,3,329 +google-symptoms,sum_anosmia_ageusia_smoothed_search,day,hhs,2020-02-20,2022-01-20,10,0.0423773980448919,2.7006648511779376,0.3352803,0.2044591,2022-01-24 14:03:00,20220124,4,663 +google-symptoms,sum_anosmia_ageusia_smoothed_search,day,hrr,2020-02-20,2022-01-20,115,8.107787174398055e-06,5.295854117677505,0.2186379,0.2170476,2022-01-24 14:03:01,20220124,3,329 +google-symptoms,sum_anosmia_ageusia_smoothed_search,day,msa,2020-02-20,2022-01-20,64,0.01847196972373093,3.3155482298349233,0.2682165,0.1921036,2022-01-24 14:03:01,20220124,3,329 +google-symptoms,sum_anosmia_ageusia_smoothed_search,day,nation,2020-02-20,2022-01-20,1,0.0830425325246353,1.0206403040899057,0.3571776,0.1669782,2022-01-24 14:03:01,20220124,4,663 +google-symptoms,sum_anosmia_ageusia_smoothed_search,day,state,2020-02-20,2022-01-20,44,0.051428571428571435,3.487142857142857,0.3951061,0.2187848,2022-01-24 14:03:01,20220124,3,329 +hhs,confirmed_admissions_covid_1d,day,hhs,2019-12-31,2024-04-26,10,0.0,5435.0,461.1311591,633.5614487,2024-05-04 18:12:32,20240504,3,1199 +hhs,confirmed_admissions_covid_1d,day,nation,2019-12-31,2024-04-26,1,0.0,23473.0,4540.0417986,4189.309632,2024-05-04 18:12:32,20240504,8,1199 +hhs,confirmed_admissions_covid_1d,day,state,2019-12-31,2024-04-26,54,0.0,2580.0,96.1909912,179.0364888,2024-05-04 18:12:32,20240504,2,1199 +hhs,confirmed_admissions_covid_1d_7dav,day,hhs,2020-01-06,2024-04-26,10,0.0,5048.4285714,462.7522463,629.8128073,2024-05-04 18:12:32,20240504,4,1193 +hhs,confirmed_admissions_covid_1d_7dav,day,nation,2020-01-06,2024-04-26,1,0.0,21996.7142857,4555.7389883,4155.626106,2024-05-04 18:12:32,20240504,8,1193 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14:52:37,20211115,1,314 +indicator-combination,confirmed_cumulative_num,day,county,2020-02-20,2021-11-12,3274,-1.0,1440262.0,5984.3194498,27226.9606968,2021-11-15 14:52:24,20211115,1,334 +indicator-combination,confirmed_cumulative_num,day,hhs,2020-04-01,2021-11-12,10,2834.0,10754684.0,2090196.4639594,2189823.6843901,2021-11-15 14:52:33,20211115,2,318 +indicator-combination,confirmed_cumulative_num,day,hrr,2020-02-20,2021-11-12,306,0.0,1449997.4965287,63347.0964754,109740.8308671,2021-11-15 14:52:33,20211115,1,318 +indicator-combination,confirmed_cumulative_num,day,msa,2020-02-20,2021-11-12,392,0.0,2707438.0,43084.3244209,133675.1598697,2021-11-15 14:52:35,20211115,1,318 +indicator-combination,confirmed_cumulative_num,day,nation,2020-04-01,2021-11-12,1,213422.0,46163217.0,20901964.6395939,14855182.7665433,2021-11-15 14:52:36,20211115,3,318 +indicator-combination,confirmed_cumulative_num,day,state,2020-02-20,2021-11-12,52,0.0,4719201.0,375917.7284567,620905.9963105,2021-11-15 14:52:37,20211115,1,318 +indicator-combination,confirmed_cumulative_prop,day,county,2020-02-20,2021-11-12,3221,0.0,113157.0023737,5932.7759708,5489.5382716,2021-11-15 14:52:25,20211115,1,334 +indicator-combination,confirmed_cumulative_prop,day,hhs,2020-04-01,2021-11-12,10,20.042121,16073.805310890504,6114.013827,4507.0973691,2021-11-15 14:52:33,20211115,2,330 +indicator-combination,confirmed_cumulative_prop,day,hrr,2020-02-20,2021-11-12,306,0.0,23409.3912388,5909.2742684,5007.9501693,2021-11-15 14:52:34,20211115,1,318 +indicator-combination,confirmed_cumulative_prop,day,msa,2020-02-20,2021-11-12,392,0.0,23963.098094,5838.3391798,5069.5083137,2021-11-15 14:52:35,20211115,1,318 +indicator-combination,confirmed_cumulative_prop,day,nation,2020-04-01,2021-11-12,1,64.2909795,13906.150430704109,6296.4819929,4474.9568954,2021-11-15 14:52:36,20211115,3,330 +indicator-combination,confirmed_cumulative_prop,day,state,2020-02-20,2021-11-12,52,0.0,20128.9936483,5812.9343872,5005.4235412,2021-11-15 14:52:37,20211115,1,318 +indicator-combination,confirmed_incidence_num,day,county,2020-02-20,2021-11-12,3274,-148527.0,42904.0,22.2074281,297.80297,2021-11-15 14:52:26,20211115,1,334 +indicator-combination,confirmed_incidence_num,day,hhs,2020-04-01,2021-11-12,10,-24483.0,190937.0,7725.6541455,10662.7906019,2021-11-15 14:52:33,20211115,2,312 +indicator-combination,confirmed_incidence_num,day,hrr,2020-02-20,2021-11-12,306,-17909.257254467,47945.581734850995,235.1779886,639.5392126,2021-11-15 14:52:34,20211115,1,314 +indicator-combination,confirmed_incidence_num,day,msa,2020-02-20,2021-11-12,392,-18686.0,65726.0,157.6013825,663.4550004,2021-11-15 14:52:35,20211115,1,314 +indicator-combination,confirmed_incidence_num,day,nation,2020-04-01,2021-11-12,1,-13564.0,367596.0,77256.5414552,63187.0620031,2021-11-15 14:52:36,20211115,3,312 +indicator-combination,confirmed_incidence_num,day,state,2020-02-20,2021-11-12,52,-26123.0,184937.0,1395.0080331,3162.0483412,2021-11-15 14:52:37,20211115,1,312 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+jhu-csse,confirmed_7dav_incidence_num,day,county,2020-02-20,2023-03-09,3284,-55155.8571429,55155.7142857,28.3952515,199.7991459,2023-03-10 10:58:39,20230310,1,1107 +jhu-csse,confirmed_7dav_incidence_num,day,hhs,2020-02-20,2023-03-09,10,-206.7142857,179745.8571429,9307.0435089,15214.0682299,2023-03-10 11:00:22,20230310,1,1107 +jhu-csse,confirmed_7dav_incidence_num,day,hrr,2020-02-20,2023-03-09,306,-3856.368581,41764.0236591,297.9313466,774.2768196,2023-03-10 11:00:22,20230310,1,1107 +jhu-csse,confirmed_7dav_incidence_num,day,msa,2020-02-20,2023-03-09,392,-3857.1428571,88629.4285714,202.9255727,933.9193079,2023-03-10 11:00:32,20230310,1,1107 +jhu-csse,confirmed_7dav_incidence_num,day,nation,2020-02-20,2023-03-09,1,0.2857143,806782.1428571,93043.1446525,114522.2791263,2023-03-10 11:00:43,20230310,1,1107 +jhu-csse,confirmed_7dav_incidence_num,day,state,2020-02-20,2023-03-09,56,-3588.1428571,123179.4285714,1662.2722518,4172.8495144,2023-03-10 11:00:43,20230310,1,1107 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10:59:59,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,hhs,2020-02-20,2023-03-09,10,0.0,383.8666291,182.9312278,111.7193226,2023-03-10 11:00:22,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,hrr,2020-01-22,2023-03-09,306,0.0,670.510457,193.1950839,144.654354,2023-03-10 11:00:29,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,msa,2020-01-22,2023-03-09,392,0.0,768.3949799,181.0682597,149.2546543,2023-03-10 11:00:40,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,nation,2020-02-20,2023-03-09,1,0.0002998,336.8650762,192.0730537,110.0703035,2023-03-10 11:00:43,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,state,2020-01-22,2023-03-09,56,0.0,451.4689698,168.8182177,128.4863521,2023-03-10 11:00:44,20230310,1,1107 +jhu-csse,deaths_incidence_num,day,county,2020-01-22,2023-03-09,3284,-25525.0,2874.0,0.3002776,14.6826257,2023-03-10 11:00:07,20230310,1,1107 +jhu-csse,deaths_incidence_num,day,hhs,2020-02-20,2023-03-09,10,-661.0,2452.0,100.8800755,163.8194274,2023-03-10 11:00:22,20230310,1,1107 +jhu-csse,deaths_incidence_num,day,hrr,2020-01-22,2023-03-09,306,-593.9064838,4975.2448667,3.1563923,17.9064987,2023-03-10 11:00:30,20230310,1,1107 +jhu-csse,deaths_incidence_num,day,msa,2020-01-22,2023-03-09,392,-1076.0,6165.0,2.0254899,18.5879756,2023-03-10 11:00:41,20230310,1,1107 +jhu-csse,deaths_incidence_num,day,nation,2020-02-20,2023-03-09,1,-253.0,4375.0,1008.6050269,925.0308337,2023-03-10 11:00:43,20230310,1,1107 +jhu-csse,deaths_incidence_num,day,state,2020-01-22,2023-03-09,56,-704.0,2441.0,17.5963736,50.492574,2023-03-10 11:00:44,20230310,1,1107 +jhu-csse,deaths_incidence_prop,day,county,2020-01-22,2023-03-09,3276,-289.3020459,656.4551422,0.3566426,2.7174116,2023-03-10 11:00:15,20230310,1,1107 +jhu-csse,deaths_incidence_prop,day,hhs,2020-02-20,2023-03-09,10,-3.7986275,17.3084805,0.2880929,0.4283799,2023-03-10 11:00:22,20230310,1,1107 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20:02:32,202428,1,151 +nssp,pct_ed_visits_combined,week,county,2022-09-25,2024-06-30,2950,0.0,100.0,3.4143,3.7335714,2024-07-12 23:21:58,202428,1,93 +nssp,pct_ed_visits_combined,week,hrr,2022-09-25,2024-06-30,305,0.0,979.8262271,25.5895479,53.5643105,2024-07-12 23:22:05,202428,1,93 +nssp,pct_ed_visits_combined,week,msa,2022-09-25,2024-06-30,377,0.0,33.33,3.2973987,3.2894222,2024-07-12 23:22:06,202428,1,93 +nssp,pct_ed_visits_combined,week,nation,2022-09-25,2024-06-30,1,0.7,10.07,3.1775269,2.5247602,2024-07-12 23:22:07,202428,1,93 +nssp,pct_ed_visits_combined,week,state,2022-09-25,2024-06-30,48,0.0,18.51,3.2584789,2.9220065,2024-07-12 23:22:07,202428,1,93 +nssp,pct_ed_visits_covid,week,county,2022-09-25,2024-06-30,2950,0.0,100.0,1.5876442,1.4889733,2024-07-12 23:21:59,202428,1,93 +nssp,pct_ed_visits_covid,week,hrr,2022-09-25,2024-06-30,305,0.0,311.5972081,11.8991794,21.0702111,2024-07-12 23:22:05,202428,1,93 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11:51:34,20200603,2,11 +youtube-survey,raw_ili,day,state,2020-04-21,2020-06-01,19,0.0,3.1956943281688743,0.8591775,0.6492578,2020-06-02 11:51:34,20200603,2,11 +youtube-survey,smoothed_cli,day,state,2020-04-21,2020-06-22,42,0.0,4.5321637426900585,0.8980185,0.5737264,2020-06-24 12:51:35,20200625,2,11 +youtube-survey,smoothed_ili,day,state,2020-04-21,2020-06-22,42,0.0,4.5321637426900585,0.8926679,0.5741616,2020-06-24 12:51:35,20200625,2,11 diff --git a/google_symptoms/tests/test_data/covid_metadata_backfill.csv b/google_symptoms/tests/test_data/covid_metadata_backfill.csv new file mode 100644 index 000000000..728777890 --- /dev/null +++ b/google_symptoms/tests/test_data/covid_metadata_backfill.csv @@ -0,0 +1,2473 @@ +data_source,signal,time_type,geo_type,min_time,max_time,num_locations,min_value,max_value,mean_value,stdev_value,last_update,max_issue,min_lag,max_lag +chng,7dav_inpatient_covid,day,state,2020-01-01,2023-08-01,58.0,0.0,1.0,0.0379778,0.046107,2024-04-01 09:24:40,20230801,0,1308.0 +chng,7dav_outpatient_covid,day,state,2019-01-01,2023-08-01,56.0,0.0,1.0,0.0057763,0.0102741,2024-04-01 09:24:40,20230801,0,1673.0 +chng,smoothed_adj_outpatient_cli,day,county,2020-02-01,2024-02-14,3119.0,0.0009331,99.9980495,1.9238237,3.7179059,2024-02-20 03:40:32,20240219,3,674.0 +chng,smoothed_adj_outpatient_cli,day,hhs,2020-02-01,2024-02-14,10.0,0.0061953,99.9996572,2.1786572,2.9502248,2024-02-20 03:40:36,20240219,5,674.0 +chng,smoothed_adj_outpatient_cli,day,hrr,2020-02-01,2024-02-14,306.0,0.0010292,50.815903,1.9914499,2.5739816,2024-02-20 03:40:36,20240219,5,674.0 +chng,smoothed_adj_outpatient_cli,day,msa,2020-02-01,2024-02-14,392.0,0.0007662,99.9989806,1.8325651,2.7690113,2024-02-20 03:40:37,20240219,5,674.0 +chng,smoothed_adj_outpatient_cli,day,nation,2020-02-01,2024-02-14,1.0,0.0154639,12.0869746,2.3476915,2.2792631,2024-02-20 03:40:37,20240219,5,674.0 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03:40:38,20240219,5,674.0 +chng,smoothed_outpatient_cli,day,county,2020-02-01,2024-02-14,3119.0,0.0008986,99.911661,1.7494246,3.2141828,2024-02-20 03:40:34,20240219,3,674.0 +chng,smoothed_outpatient_cli,day,hhs,2020-02-01,2024-02-14,10.0,0.0057532,21.7526533,2.1935759,2.4568923,2024-02-20 03:40:36,20240219,5,674.0 +chng,smoothed_outpatient_cli,day,hrr,2020-02-01,2024-02-14,306.0,0.0010292,54.076492,2.0121518,2.5913195,2024-02-20 03:40:36,20240219,5,674.0 +chng,smoothed_outpatient_cli,day,msa,2020-02-01,2024-02-14,392.0,0.0007571,54.213362,1.7692415,2.3668653,2024-02-20 03:40:37,20240219,5,674.0 +chng,smoothed_outpatient_cli,day,nation,2020-02-01,2024-02-14,1.0,0.014286,13.183495,2.4016659,2.3445632,2024-02-20 03:40:37,20240219,5,674.0 +chng,smoothed_outpatient_cli,day,state,2020-02-01,2024-02-14,55.0,0.0012136,38.0980677,1.976939,2.4902626,2024-02-20 03:40:38,20240219,5,674.0 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03:40:35,20240219,4,674.0 +chng,smoothed_outpatient_flu,day,hhs,2020-02-01,2024-02-14,10.0,0.0001256,3.3283321,0.1325491,0.2889045,2024-02-20 03:40:36,20240219,5,674.0 +chng,smoothed_outpatient_flu,day,hrr,2020-02-01,2024-02-14,306.0,0.0007358,7.7181903,0.1580634,0.3454277,2024-02-20 03:40:37,20240219,5,674.0 +chng,smoothed_outpatient_flu,day,msa,2020-02-01,2024-02-14,392.0,0.0005895,7.7881801,0.1547919,0.327931,2024-02-20 03:40:37,20240219,5,674.0 +chng,smoothed_outpatient_flu,day,nation,2020-02-01,2024-02-14,1.0,0.0042154,1.8960681,0.1439693,0.2751247,2024-02-20 03:40:37,20240219,5,674.0 +chng,smoothed_outpatient_flu,day,state,2020-02-01,2024-02-14,55.0,0.0003211,5.2040069,0.1365516,0.3116242,2024-02-20 03:40:38,20240219,5,674.0 +covid-act-now,pcr_specimen_positivity_rate,day,county,2020-03-01,2021-12-02,3126.0,0.0,1.0,0.0979475,0.0903481,2021-12-10 17:59:11,20211210,2,529.0 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13:15:36,20240717,4,732.0 +google-symptoms,s06_smoothed_search,day,nation,2020-02-20,2024-05-01,1.0,0.4007222,1.5691818,0.8043518,0.2252896,2024-07-17 13:15:36,20240717,4,732.0 +google-symptoms,s06_smoothed_search,day,state,2020-02-20,2024-05-01,51.0,0.1852381,2.0328571,0.7772562,0.2522011,2024-07-17 13:15:36,20240717,4,732.0 +google-symptoms,scontrol_raw_search,day,county,2020-02-14,2024-05-01,1438.0,0.25,14.124,3.3171389,1.0021697,2024-07-17 13:15:32,20240717,4,738.0 +google-symptoms,scontrol_raw_search,day,hhs,2020-02-14,2024-05-01,10.0,2.097142,10.5574026,3.561163,0.4858404,2024-07-17 13:15:33,20240717,4,738.0 +google-symptoms,scontrol_raw_search,day,hrr,2020-02-14,2024-05-01,306.0,0.0535164,12.348618,3.1551263,0.8088133,2024-07-17 13:15:34,20240717,4,738.0 +google-symptoms,scontrol_raw_search,day,msa,2020-02-14,2024-05-01,384.0,0.2728576,14.124,3.529657,0.7122945,2024-07-17 13:15:36,20240717,4,738.0 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18:12:32,20240504,2,1199.0 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop_7dav,day,hhs,2020-01-06,2024-04-26,10.0,0.0,10.5333585,2.442418,1.9278248,2024-05-04 18:12:32,20240504,5,1193.0 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop_7dav,day,nation,2020-01-06,2024-04-26,1.0,0.0,8.4773043,2.487346,1.8193067,2024-05-04 18:12:32,20240504,8,1193.0 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop_7dav,day,state,2020-01-06,2024-04-26,54.0,-28244.5801805,51.476778,-8.4047634,422.0103505,2024-05-04 18:12:32,20240504,2,1193.0 +hospital-admissions,smoothed_adj_covid19,day,county,2020-02-01,2020-09-27,1135.0,0.046381,89.490451,4.9874457,5.9539161,2020-09-30 23:37:22,20200930,3,150.0 +hospital-admissions,smoothed_adj_covid19,day,hrr,2020-02-01,2020-09-27,292.0,0.033958,48.498128,4.7894585,5.3017575,2020-09-30 23:37:22,20200930,3,150.0 +hospital-admissions,smoothed_adj_covid19,day,msa,2020-02-01,2020-09-27,329.0,0.024278,54.758257,4.8585652,5.4583597,2020-09-30 23:37:22,20200930,3,150.0 +hospital-admissions,smoothed_adj_covid19,day,state,2020-02-01,2020-09-27,51.0,0.013853,33.703258,5.0163537,4.901157,2020-09-30 23:37:22,20200930,3,150.0 +hospital-admissions,smoothed_adj_covid19_from_claims,day,county,2020-02-01,2024-07-12,1177.0,0.039949,92.932609,3.1722823,4.694149,2024-07-17 05:25:37,20240716,3,1627.0 +hospital-admissions,smoothed_adj_covid19_from_claims,day,hhs,2020-02-01,2024-07-12,10.0,0.01194,30.98829,2.9154075,3.4358447,2024-07-17 05:25:37,20240716,4,1627.0 +hospital-admissions,smoothed_adj_covid19_from_claims,day,hrr,2020-02-01,2024-07-12,299.0,0.037466,48.579963,3.1296706,4.3537278,2024-07-17 05:25:37,20240716,4,1627.0 +hospital-admissions,smoothed_adj_covid19_from_claims,day,msa,2020-02-01,2024-07-12,359.0,0.038978,92.191139,3.1640435,4.6620124,2024-07-17 05:25:37,20240716,4,1627.0 +hospital-admissions,smoothed_adj_covid19_from_claims,day,nation,2020-02-01,2024-07-12,1.0,0.020735,13.848815,3.1675374,3.2341658,2024-07-17 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14:52:33,20211115,1,318.0 +indicator-combination,confirmed_cumulative_num,day,msa,2020-02-20,2021-11-12,392.0,0.0,2707438.0,43084.3244209,133675.1598697,2021-11-15 14:52:35,20211115,1,318.0 +indicator-combination,confirmed_cumulative_num,day,nation,2020-04-01,2021-11-12,1.0,213422.0,46163217.0,20901964.6395939,14855182.7665433,2021-11-15 14:52:36,20211115,3,318.0 +indicator-combination,confirmed_cumulative_num,day,state,2020-02-20,2021-11-12,52.0,0.0,4719201.0,375917.7284567,620905.9963105,2021-11-15 14:52:37,20211115,1,318.0 +indicator-combination,confirmed_cumulative_prop,day,county,2020-02-20,2021-11-12,3221.0,0.0,113157.0023737,5932.7759708,5489.5382716,2021-11-15 14:52:25,20211115,1,334.0 +indicator-combination,confirmed_cumulative_prop,day,hhs,2020-04-01,2021-11-12,10.0,20.042121,16073.805310890504,6114.013827,4507.0973691,2021-11-15 14:52:33,20211115,2,330.0 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11:00:15,20230310,1,1107.0 +jhu-csse,deaths_incidence_prop,day,hhs,2020-02-20,2023-03-09,10.0,-3.7986275,17.3084805,0.2880929,0.4283799,2023-03-10 11:00:22,20230310,1,1107.0 +jhu-csse,deaths_incidence_prop,day,hrr,2020-01-22,2023-03-09,306.0,-58.4301826,214.5860825,0.3119563,1.2531446,2023-03-10 11:00:31,20230310,1,1107.0 +jhu-csse,deaths_incidence_prop,day,msa,2020-01-22,2023-03-09,392.0,-211.7950926,246.3891249,0.298964,1.4898235,2023-03-10 11:00:42,20230310,1,1107.0 +jhu-csse,deaths_incidence_prop,day,nation,2020-02-20,2023-03-09,1.0,-0.0758484,1.3116083,0.3023759,0.2773207,2023-03-10 11:00:43,20230310,1,1107.0 +jhu-csse,deaths_incidence_prop,day,state,2020-01-22,2023-03-09,56.0,-20.2532572,43.1070973,0.2740545,0.666353,2023-03-10 11:00:44,20230310,1,1107.0 +nchs-mortality,deaths_allcause_incidence_num,week,nation,2020-02-02,2024-06-30,1.0,18367.0,87415.0,62753.1212121,8137.3670414,2024-07-11 20:02:31,202428,1,206.0 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12:51:35,20200625,2,11.0 +youtube-survey,smoothed_ili,day,state,2020-04-21,2020-06-22,42.0,0.0,4.5321637426900585,0.8926679,0.5741616,2020-06-24 12:51:35,20200625,2,11.0 diff --git a/google_symptoms/tests/test_data/covid_metadata_missing.csv b/google_symptoms/tests/test_data/covid_metadata_missing.csv new file mode 100644 index 000000000..46afe0f1b --- /dev/null +++ b/google_symptoms/tests/test_data/covid_metadata_missing.csv @@ -0,0 +1,2467 @@ +data_source,signal,time_type,geo_type,min_time,max_time,num_locations,min_value,max_value,mean_value,stdev_value,last_update,max_issue,min_lag,max_lag +chng,7dav_inpatient_covid,day,state,2020-01-01,2023-08-01,58,0.0,1.0,0.0379778,0.046107,2024-04-01 09:24:40,20230801,0,1308 +chng,7dav_outpatient_covid,day,state,2019-01-01,2023-08-01,56,0.0,1.0,0.0057763,0.0102741,2024-04-01 09:24:40,20230801,0,1673 +chng,smoothed_adj_outpatient_cli,day,county,2020-02-01,2024-02-14,3119,0.0009331,99.9980495,1.9238237,3.7179059,2024-02-20 03:40:32,20240219,3,674 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03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,hrr,2020-02-01,2024-02-14,306,0.0004377,50.3590956,0.7379263,0.9213437,2024-02-20 03:40:36,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,msa,2020-02-01,2024-02-14,392,0.0003621,84.2126626,0.7507935,1.2899205,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,nation,2020-02-01,2024-02-14,1,0.0002647,29.0740775,0.7761674,1.1225822,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_covid,day,state,2020-02-01,2024-02-14,55,0.0001764,99.984985,0.799901,2.2962465,2024-02-20 03:40:37,20240219,5,674 +chng,smoothed_adj_outpatient_flu,day,county,2020-02-01,2024-02-14,3118,0.0007864,99.8031496,0.2200146,0.5945624,2024-02-20 03:40:33,20240219,4,674 +chng,smoothed_adj_outpatient_flu,day,hhs,2020-02-01,2024-02-14,10,0.0001256,2.9665199,0.129573,0.2910451,2024-02-20 03:40:36,20240219,5,674 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17:59:15,20211210,3,585 +covid-act-now,pcr_specimen_total_tests,day,county,2020-03-01,2021-12-02,3126,0.14,161333.71,338.7239566,1757.0608222,2021-12-10 17:59:13,20211210,2,428 +covid-act-now,pcr_specimen_total_tests,day,hhs,2020-03-01,2021-12-02,10,2.0,387262.01,98225.6981138,78754.8915,2021-12-10 17:59:15,20211210,8,585 +covid-act-now,pcr_specimen_total_tests,day,hrr,2020-03-01,2021-12-02,306,1.55e-05,161288.2579186,3240.5090482,6316.7070508,2021-12-10 17:59:15,20211210,4,526 +covid-act-now,pcr_specimen_total_tests,day,msa,2020-03-01,2021-12-02,384,0.14,174380.71,2342.0841463,7999.6725139,2021-12-10 17:59:15,20211210,2,428 +covid-act-now,pcr_specimen_total_tests,day,nation,2020-03-01,2021-12-02,1,1433.8,1768763.07,981518.2845639,460852.3824205,2021-12-10 17:59:15,20211210,8,428 +covid-act-now,pcr_specimen_total_tests,day,state,2020-03-01,2021-12-02,51,0.14,344887.85,19433.6865717,31650.7665229,2021-12-10 17:59:15,20211210,2,585 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+doctor-visits,smoothed_cli,day,hhs,2020-02-01,2024-07-12,10,0.055393,35.777605,3.1877169,3.8427966,2024-07-17 00:18:42,20240716,4,126 +doctor-visits,smoothed_cli,day,hrr,2020-02-01,2024-07-12,306,0.0,52.474626,2.5259156,3.5549362,2024-07-17 00:18:44,20240716,4,129 +doctor-visits,smoothed_cli,day,msa,2020-02-01,2024-07-12,385,0.0,65.645487,2.2165108,3.2350177,2024-07-17 00:18:47,20240716,4,129 +doctor-visits,smoothed_cli,day,nation,2020-02-01,2024-07-12,1,0.120689,26.252728,3.4213596,3.8325068,2024-07-17 00:18:49,20240716,4,126 +doctor-visits,smoothed_cli,day,state,2020-02-01,2024-07-12,53,0.0,61.764374,2.8345543,3.9843822,2024-07-17 00:18:52,20240716,3,129 +dsew-cpr,booster_doses_admin_7dav,day,hhs,2021-11-01,2023-02-22,10,360.8571429,211419.2857143,25422.797562,37932.1282922,2023-02-24 16:51:39,20230224,1,182 +dsew-cpr,booster_doses_admin_7dav,day,nation,2021-11-01,2023-02-22,1,14740.2857143,1100514.8571429,257525.9704433,312271.1870132,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,booster_doses_admin_7dav,day,state,2021-11-01,2023-02-22,56,0.0,194532.1428571,4613.3131688,11601.9151563,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,county,2021-01-07,2023-02-21,3272,0.0,825.5714285714286,2.3294191,9.6538384,2023-02-24 16:51:16,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,hhs,2020-12-16,2023-02-21,10,23.2857143,4990.0,667.6785049,780.5578655,2023-02-24 16:51:30,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,msa,2021-01-07,2023-02-21,392,0.0,1902.7142857142856,14.2411998,42.714571,2023-02-24 16:51:31,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,nation,2020-12-16,2023-02-21,1,1338.2857143,21086.1428571,6676.7850488,4537.105663,2023-02-24 16:51:32,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_7dav,day,state,2020-12-16,2023-02-21,56,0.0,2379.0,119.5731249,215.9007672,2023-02-24 16:51:32,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,county,2021-01-07,2023-02-21,3219,0.0,569.2346462,1.8762013,4.3113657,2023-02-24 16:51:24,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,hhs,2020-12-16,2023-02-21,10,0.1568329,8.1781998,1.863108,1.4513172,2023-02-24 16:51:30,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,msa,2021-01-07,2023-02-21,392,0.0,52.2139965155508,2.1629876,2.5039056,2023-02-24 16:51:32,20230224,3,480 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,nation,2020-12-16,2023-02-21,1,0.4005607,6.3112681,1.9984205,1.3579956,2023-02-24 16:51:32,20230224,3,502 +dsew-cpr,confirmed_admissions_covid_1d_prop_7dav,day,state,2020-12-16,2023-02-21,56,0.0,35.7918347,1.9012573,1.9888021,2023-02-24 16:51:33,20230224,3,502 +dsew-cpr,covid_naat_pct_positive_7dav,day,county,2020-12-07,2023-02-20,3198,0.0,1.0,0.1155519,0.0997406,2023-02-24 16:51:15,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,hhs,2020-12-07,2023-02-20,10,0.004,0.436,0.0919346,0.0679411,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,msa,2020-12-07,2023-02-20,392,0.0,1.0,0.1084464,0.0916635,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,nation,2020-12-07,2023-02-20,1,0.0197007,0.3145435,0.097572,0.0623476,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,covid_naat_pct_positive_7dav,day,state,2020-12-07,2023-02-20,55,0.0,0.946,0.0997204,0.0823642,2023-02-24 16:51:16,20230224,4,522 +dsew-cpr,doses_admin_7dav,day,hhs,2021-05-02,2023-02-22,10,-25415.0,416729.2857143,70956.6438044,69418.1294544,2023-02-24 16:51:39,20230224,1,365 +dsew-cpr,doses_admin_7dav,day,nation,2021-05-02,2023-02-22,1,84396.2857143,2405770.1428571,706882.2067602,508222.8169732,2023-02-24 16:51:40,20230224,1,365 +dsew-cpr,doses_admin_7dav,day,state,2021-05-02,2023-02-22,56,-34912.7142857,340911.8571429,12732.1491109,23061.218246,2023-02-24 16:51:40,20230224,1,365 +dsew-cpr,people_booster_doses,day,hhs,2021-11-01,2023-02-22,10,798354.0,21409818.0,9252301.1570292,5435063.9417483,2023-02-24 16:51:39,20230224,1,182 +dsew-cpr,people_booster_doses,day,nation,2021-11-01,2023-02-22,1,19141580.0,117047500.0,92522945.6153846,24244972.5200394,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,people_booster_doses,day,state,2021-11-01,2023-02-22,56,143.0,17335732.0,1652195.4574176,2259512.8844226,2023-02-24 16:51:40,20230224,1,182 +dsew-cpr,people_full_vaccinated,day,county,2021-04-12,2023-02-22,3272,18.0,7519699.0,59563.0639614,211223.6154859,2023-02-24 16:51:33,20230224,1,385 +dsew-cpr,people_full_vaccinated,day,hhs,2021-01-15,2023-02-22,10,62625.0,41839198.0,17210344.7447526,11586031.1172692,2023-02-24 16:51:39,20230224,1,472 +dsew-cpr,people_full_vaccinated,day,msa,2021-04-12,2023-02-22,392,70.0,15491795.0,418183.4066464,1051278.8411392,2023-02-24 16:51:39,20230224,1,385 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+fb-survey,raw_hh_cmnty_cli,day,county,2020-04-15,2022-06-25,351,0.4092675,68.9130435,21.0312594,9.4592786,2022-07-01 14:59:42,20220701,1,141 +fb-survey,raw_hh_cmnty_cli,day,hrr,2020-04-15,2022-06-25,288,1.2711864,68.9054726,21.6422026,9.9707881,2022-07-01 14:59:57,20220701,4,141 +fb-survey,raw_hh_cmnty_cli,day,msa,2020-04-15,2022-06-25,215,2.2987534,68.9130435,20.9525067,9.5781275,2022-07-01 15:00:12,20220701,4,141 +fb-survey,raw_hh_cmnty_cli,day,nation,2020-04-15,2022-06-26,1,8.6940597,48.3062084,21.5924631,7.4691767,2022-07-01 15:00:23,20220701,2,244 +fb-survey,raw_hh_cmnty_cli,day,state,2020-04-15,2022-06-25,51,2.9411765,66.9255021,22.2057274,9.7290508,2022-07-01 15:00:26,20220701,4,141 +fb-survey,raw_ili,day,county,2020-04-06,2022-06-25,642,0.0,19.047619047619047,0.9478843,1.0147259,2022-07-01 14:59:42,20220701,1,150 +fb-survey,raw_ili,day,hrr,2020-04-06,2022-06-25,306,0.0,11.2681159,0.9779726,1.061052,2022-07-01 14:59:57,20220701,3,150 +fb-survey,raw_ili,day,msa,2020-04-06,2022-06-25,342,0.0,10.9638047,0.9124409,1.004418,2022-07-01 15:00:12,20220701,4,150 +fb-survey,raw_ili,day,nation,2020-04-06,2022-06-26,1,0.3525545,5.0480449,1.2000985,0.8120644,2022-07-01 15:00:23,20220701,2,253 +fb-survey,raw_ili,day,state,2020-04-06,2022-06-25,51,0.0,11.081765,1.1941615,1.0364316,2022-07-01 15:00:26,20220701,4,150 +fb-survey,raw_nohh_cmnty_cli,day,county,2020-04-15,2022-06-25,351,0.3267974,64.0283737,16.7370961,8.6774912,2022-07-01 14:59:42,20220701,1,141 +fb-survey,raw_nohh_cmnty_cli,day,hrr,2020-04-15,2022-06-25,288,0.3787879,64.0939597,17.3080434,9.1652301,2022-07-01 14:59:57,20220701,4,141 +fb-survey,raw_nohh_cmnty_cli,day,msa,2020-04-15,2022-06-25,215,0.5633451,64.0283737,16.6829469,8.7874763,2022-07-01 15:00:12,20220701,4,141 +fb-survey,raw_nohh_cmnty_cli,day,nation,2020-04-15,2022-06-26,1,5.7044523,41.8558786,17.0048453,6.824453,2022-07-01 15:00:23,20220701,2,244 +fb-survey,raw_nohh_cmnty_cli,day,state,2020-04-15,2022-06-25,51,0.3267974,60.9350753,17.5830578,9.0078233,2022-07-01 15:00:26,20220701,4,141 +fb-survey,raw_wcli,day,county,2020-04-06,2022-06-25,640,0.0,19.047619047619047,0.9389968,1.0065155,2022-07-01 14:59:42,20220701,2,150 +fb-survey,raw_wcli,day,hrr,2020-04-06,2022-06-25,306,0.0,11.1186835,0.9865602,1.0702621,2022-07-01 14:59:57,20220701,2,150 +fb-survey,raw_wcli,day,msa,2020-04-06,2022-06-25,340,0.0,11.7928697,0.9314997,1.0168941,2022-07-01 15:00:12,20220701,2,150 +fb-survey,raw_wcli,day,nation,2020-04-06,2022-06-25,1,0.4039215,5.408061,1.3702998,0.9063896,2022-07-01 15:00:23,20220701,4,253 +fb-survey,raw_wcli,day,state,2020-04-06,2022-06-25,51,0.0,11.2808901,1.2850101,1.1000853,2022-07-01 15:00:26,20220701,2,150 +fb-survey,raw_whh_cmnty_cli,day,county,2020-04-15,2022-06-25,343,0.4092675,69.7366276,21.2513547,9.4036702,2022-07-01 14:59:42,20220701,4,141 +fb-survey,raw_whh_cmnty_cli,day,hrr,2020-04-15,2022-06-25,287,1.4154066,69.0424071,21.8559408,9.9701793,2022-07-01 14:59:57,20220701,4,141 +fb-survey,raw_whh_cmnty_cli,day,msa,2020-04-15,2022-06-25,207,1.6579937,69.9032636,21.1068482,9.564647,2022-07-01 15:00:12,20220701,4,141 +fb-survey,raw_whh_cmnty_cli,day,nation,2020-04-15,2022-06-25,1,9.1761173,48.2407423,21.5503016,7.2072222,2022-07-01 15:00:23,20220701,4,244 +fb-survey,raw_whh_cmnty_cli,day,state,2020-04-15,2022-06-25,51,2.5278035,67.7211955,22.4708687,9.5978548,2022-07-01 15:00:27,20220701,4,141 +fb-survey,raw_wili,day,county,2020-04-06,2022-06-25,640,0.0,19.047619047619047,0.9617527,1.0224706,2022-07-01 14:59:42,20220701,2,150 +fb-survey,raw_wili,day,hrr,2020-04-06,2022-06-25,306,0.0,11.1227941,1.0088413,1.0878227,2022-07-01 14:59:57,20220701,2,150 +fb-survey,raw_wili,day,msa,2020-04-06,2022-06-25,340,0.0,11.7928697,0.9555916,1.0354607,2022-07-01 15:00:12,20220701,2,150 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13:15:36,20240717,4,738 +google-symptoms,scontrol_raw_search,day,state,2020-02-14,2024-07-13,51,1.386,12.48,3.6053961,0.5999558,2024-07-17 13:15:36,20240717,4,738 +google-symptoms,scontrol_smoothed_search,day,county,2020-02-20,2024-07-13,1438,0.0,7.4088571,3.2498719,0.9947871,2024-07-17 13:15:33,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,hhs,2020-02-20,2024-07-13,10,2.1692694,6.0588907,3.5622185,0.4422332,2024-07-17 13:15:33,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,hrr,2020-02-20,2024-07-13,306,0.0,6.844638,3.1042179,0.8640953,2024-07-17 13:15:35,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,msa,2020-02-20,2024-07-13,384,0.0,7.3748571,3.4726074,0.7844,2024-07-17 13:15:36,20240717,4,732 +google-symptoms,scontrol_smoothed_search,day,nation,2020-02-20,2024-07-13,1,2.7735218,5.4817889,3.6667235,0.2933651,2024-07-17 13:15:36,20240717,4,732 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+hhs,confirmed_admissions_covid_1d_prop_7dav,day,nation,2020-01-06,2024-04-26,1,0.0,6.598306,1.3669301,1.2463811,2024-05-04 18:12:32,20240504,8,1193 +hhs,confirmed_admissions_covid_1d_prop_7dav,day,state,2020-01-06,2024-04-26,54,-0.0587884,13.5606169,1.4799905,1.5007705,2024-05-04 18:12:32,20240504,2,1193 +hhs,confirmed_admissions_influenza_1d,day,hhs,2019-12-31,2024-04-26,10,0.0,1020.0,36.3701512,81.5215794,2024-05-04 18:12:32,20240504,2,1199 +hhs,confirmed_admissions_influenza_1d,day,nation,2019-12-31,2024-04-26,1,0.0,4139.0,358.050665,667.4539517,2024-05-04 18:12:32,20240504,8,1199 +hhs,confirmed_admissions_influenza_1d,day,state,2019-12-31,2024-04-26,54,0.0,527.0,8.079549,22.3643642,2024-05-04 18:12:32,20240504,2,1199 +hhs,confirmed_admissions_influenza_1d_7dav,day,hhs,2020-01-06,2024-04-26,10,0.0,824.4285714,36.4463386,80.8724694,2024-05-04 18:12:32,20240504,2,1193 +hhs,confirmed_admissions_influenza_1d_7dav,day,nation,2020-01-06,2024-04-26,1,0.0,3810.4285714,358.8049224,664.1485754,2024-05-04 18:12:32,20240504,8,1193 +hhs,confirmed_admissions_influenza_1d_7dav,day,state,2020-01-06,2024-04-26,54,-235.7730334,466.7142857,7.9743098,22.2495347,2024-05-04 18:12:32,20240504,2,1193 +hhs,confirmed_admissions_influenza_1d_prop,day,hhs,2019-12-31,2024-04-26,10,0.0,2.1320358,0.1081863,0.2206152,2024-05-04 18:12:32,20240504,2,1199 +hhs,confirmed_admissions_influenza_1d_prop,day,nation,2019-12-31,2024-04-26,1,0.0,1.2415667,0.1074078,0.2002126,2024-05-04 18:12:32,20240504,8,1199 +hhs,confirmed_admissions_influenza_1d_prop,day,state,2019-12-31,2024-04-26,54,0.0,3.4666547,0.1327134,0.2825847,2024-05-04 18:12:32,20240504,2,1199 +hhs,confirmed_admissions_influenza_1d_prop_7dav,day,hhs,2020-01-06,2024-04-26,10,0.0,1.887586,0.1084012,0.2181674,2024-05-04 18:12:32,20240504,2,1193 +hhs,confirmed_admissions_influenza_1d_prop_7dav,day,nation,2020-01-06,2024-04-26,1,0.0,1.1430059,0.1076326,0.1992218,2024-05-04 18:12:32,20240504,8,1193 +hhs,confirmed_admissions_influenza_1d_prop_7dav,day,state,2020-01-06,2024-04-26,54,-7.5128606,3.1329084,0.1299443,0.289478,2024-05-04 18:12:32,20240504,2,1193 +hhs,sum_confirmed_suspected_admissions_covid_1d,day,hhs,2019-12-31,2024-04-26,10,0.0,6806.0,839.2928728,929.1560226,2024-05-04 18:12:32,20240504,4,1199 +hhs,sum_confirmed_suspected_admissions_covid_1d,day,nation,2019-12-31,2024-04-26,1,0.0,30339.0,8263.2216593,6137.0740488,2024-05-04 18:12:32,20240504,8,1199 +hhs,sum_confirmed_suspected_admissions_covid_1d,day,state,2019-12-31,2024-04-26,54,0.0,3336.0,176.9070707,270.2597076,2024-05-04 18:12:32,20240504,2,1199 +hhs,sum_confirmed_suspected_admissions_covid_1d_7dav,day,hhs,2020-01-06,2024-04-26,10,0.0,6255.1428571,842.0457741,921.1235546,2024-05-04 18:12:32,20240504,5,1193 +hhs,sum_confirmed_suspected_admissions_covid_1d_7dav,day,nation,2020-01-06,2024-04-26,1,0.0,28260.7142857,8289.8381618,6066.4615525,2024-05-04 18:12:32,20240504,8,1193 +hhs,sum_confirmed_suspected_admissions_covid_1d_7dav,day,state,2020-01-06,2024-04-26,54,-1947060.9047407,3031.2857143,-295.5559628,21361.3282651,2024-05-04 18:12:32,20240504,2,1193 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop,day,hhs,2019-12-31,2024-04-26,10,0.0,11.2926069,2.4350865,1.9583555,2024-05-04 18:12:32,20240504,4,1199 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop,day,nation,2019-12-31,2024-04-26,1,0.0,9.1007231,2.4797186,1.8400811,2024-05-04 18:12:32,20240504,8,1199 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop,day,state,2019-12-31,2024-04-26,54,0.0,112.4449151,2.8111772,2.6390245,2024-05-04 18:12:32,20240504,2,1199 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop_7dav,day,hhs,2020-01-06,2024-04-26,10,0.0,10.5333585,2.442418,1.9278248,2024-05-04 18:12:32,20240504,5,1193 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop_7dav,day,nation,2020-01-06,2024-04-26,1,0.0,8.4773043,2.487346,1.8193067,2024-05-04 18:12:32,20240504,8,1193 +hhs,sum_confirmed_suspected_admissions_covid_1d_prop_7dav,day,state,2020-01-06,2024-04-26,54,-28244.5801805,51.476778,-8.4047634,422.0103505,2024-05-04 18:12:32,20240504,2,1193 +hospital-admissions,smoothed_adj_covid19,day,county,2020-02-01,2020-09-27,1135,0.046381,89.490451,4.9874457,5.9539161,2020-09-30 23:37:22,20200930,3,150 +hospital-admissions,smoothed_adj_covid19,day,hrr,2020-02-01,2020-09-27,292,0.033958,48.498128,4.7894585,5.3017575,2020-09-30 23:37:22,20200930,3,150 +hospital-admissions,smoothed_adj_covid19,day,msa,2020-02-01,2020-09-27,329,0.024278,54.758257,4.8585652,5.4583597,2020-09-30 23:37:22,20200930,3,150 +hospital-admissions,smoothed_adj_covid19,day,state,2020-02-01,2020-09-27,51,0.013853,33.703258,5.0163537,4.901157,2020-09-30 23:37:22,20200930,3,150 +hospital-admissions,smoothed_adj_covid19_from_claims,day,county,2020-02-01,2024-07-12,1177,0.039949,92.932609,3.1722823,4.694149,2024-07-17 05:25:37,20240716,3,1627 +hospital-admissions,smoothed_adj_covid19_from_claims,day,hhs,2020-02-01,2024-07-12,10,0.01194,30.98829,2.9154075,3.4358447,2024-07-17 05:25:37,20240716,4,1627 +hospital-admissions,smoothed_adj_covid19_from_claims,day,hrr,2020-02-01,2024-07-12,299,0.037466,48.579963,3.1296706,4.3537278,2024-07-17 05:25:37,20240716,4,1627 +hospital-admissions,smoothed_adj_covid19_from_claims,day,msa,2020-02-01,2024-07-12,359,0.038978,92.191139,3.1640435,4.6620124,2024-07-17 05:25:37,20240716,4,1627 +hospital-admissions,smoothed_adj_covid19_from_claims,day,nation,2020-02-01,2024-07-12,1,0.020735,13.848815,3.1675374,3.2341658,2024-07-17 05:25:37,20240716,4,1627 +hospital-admissions,smoothed_adj_covid19_from_claims,day,state,2020-02-01,2024-07-12,51,0.013436,39.025142,2.9281557,3.8463412,2024-07-17 05:25:37,20240716,4,1627 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+indicator-combination,confirmed_7dav_incidence_num,day,state,2020-02-20,2021-11-12,52,-3731.8571429,45072.7142857,1388.8207591,2634.6073505,2021-11-15 14:52:37,20211115,1,314 +indicator-combination,confirmed_7dav_incidence_prop,day,county,2020-02-20,2021-11-12,3221,-1904.1515998,14610.2795136,23.1677207,40.1453694,2021-11-15 14:52:23,20211115,1,334 +indicator-combination,confirmed_7dav_incidence_prop,day,hhs,2020-04-01,2021-11-12,10,-3.565656322020853,113.5732954,22.5814568,20.0656748,2021-11-15 14:52:33,20211115,2,330 +indicator-combination,confirmed_7dav_incidence_prop,day,hrr,2020-02-20,2021-11-12,306,-132.5722959,683.6028314,22.5266058,25.799739,2021-11-15 14:52:33,20211115,1,317 +indicator-combination,confirmed_7dav_incidence_prop,day,msa,2020-02-20,2021-11-12,392,-793.0152259,1416.7418761,22.5201767,27.8145349,2021-11-15 14:52:35,20211115,1,317 +indicator-combination,confirmed_7dav_incidence_prop,day,nation,2020-04-01,2021-11-12,1,2.0138672,75.6701017,23.2008057,17.4195699,2021-11-15 14:52:36,20211115,3,330 +indicator-combination,confirmed_7dav_incidence_prop,day,state,2020-02-20,2021-11-12,52,-71.7332496,243.0667775,22.1858507,24.1984599,2021-11-15 14:52:37,20211115,1,314 +indicator-combination,confirmed_cumulative_num,day,county,2020-02-20,2021-11-12,3274,-1.0,1440262.0,5984.3194498,27226.9606968,2021-11-15 14:52:24,20211115,1,334 +indicator-combination,confirmed_cumulative_num,day,hhs,2020-04-01,2021-11-12,10,2834.0,10754684.0,2090196.4639594,2189823.6843901,2021-11-15 14:52:33,20211115,2,318 +indicator-combination,confirmed_cumulative_num,day,hrr,2020-02-20,2021-11-12,306,0.0,1449997.4965287,63347.0964754,109740.8308671,2021-11-15 14:52:33,20211115,1,318 +indicator-combination,confirmed_cumulative_num,day,msa,2020-02-20,2021-11-12,392,0.0,2707438.0,43084.3244209,133675.1598697,2021-11-15 14:52:35,20211115,1,318 +indicator-combination,confirmed_cumulative_num,day,nation,2020-04-01,2021-11-12,1,213422.0,46163217.0,20901964.6395939,14855182.7665433,2021-11-15 14:52:36,20211115,3,318 +indicator-combination,confirmed_cumulative_num,day,state,2020-02-20,2021-11-12,52,0.0,4719201.0,375917.7284567,620905.9963105,2021-11-15 14:52:37,20211115,1,318 +indicator-combination,confirmed_cumulative_prop,day,county,2020-02-20,2021-11-12,3221,0.0,113157.0023737,5932.7759708,5489.5382716,2021-11-15 14:52:25,20211115,1,334 +indicator-combination,confirmed_cumulative_prop,day,hhs,2020-04-01,2021-11-12,10,20.042121,16073.805310890504,6114.013827,4507.0973691,2021-11-15 14:52:33,20211115,2,330 +indicator-combination,confirmed_cumulative_prop,day,hrr,2020-02-20,2021-11-12,306,0.0,23409.3912388,5909.2742684,5007.9501693,2021-11-15 14:52:34,20211115,1,318 +indicator-combination,confirmed_cumulative_prop,day,msa,2020-02-20,2021-11-12,392,0.0,23963.098094,5838.3391798,5069.5083137,2021-11-15 14:52:35,20211115,1,318 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11:00:43,20230310,1,1107 +jhu-csse,deaths_cumulative_num,day,state,2020-01-22,2023-03-09,56,0.0,101159.0,11168.8936217,16972.8601255,2023-03-10 11:00:44,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,county,2020-01-22,2023-03-09,3276,0.0,1386.962552,214.3349027,195.0967167,2023-03-10 10:59:59,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,hhs,2020-02-20,2023-03-09,10,0.0,383.8666291,182.9312278,111.7193226,2023-03-10 11:00:22,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,hrr,2020-01-22,2023-03-09,306,0.0,670.510457,193.1950839,144.654354,2023-03-10 11:00:29,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,msa,2020-01-22,2023-03-09,392,0.0,768.3949799,181.0682597,149.2546543,2023-03-10 11:00:40,20230310,1,1107 +jhu-csse,deaths_cumulative_prop,day,nation,2020-02-20,2023-03-09,1,0.0002998,336.8650762,192.0730537,110.0703035,2023-03-10 11:00:43,20230310,1,1107 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23:22:06,202428,1,93 +nssp,pct_ed_visits_influenza,week,nation,2022-09-25,2024-06-30,1,0.15,6.69,1.4260215,1.6881173,2024-07-12 23:22:07,202428,1,93 +nssp,pct_ed_visits_influenza,week,state,2022-09-25,2024-06-30,48,0.0,14.02,1.3865659,2.0466715,2024-07-12 23:22:07,202428,1,93 +nssp,pct_ed_visits_rsv,week,county,2022-09-25,2024-06-30,2950,0.0,50.0,0.3744205,0.806547,2024-07-12 23:22:01,202428,1,93 +nssp,pct_ed_visits_rsv,week,hrr,2022-09-25,2024-06-30,305,0.0,192.012669,2.8061764,8.4453292,2024-07-12 23:22:05,202428,1,93 +nssp,pct_ed_visits_rsv,week,msa,2022-09-25,2024-06-30,377,0.0,12.5,0.3614361,0.6316735,2024-07-12 23:22:06,202428,1,93 +nssp,pct_ed_visits_rsv,week,nation,2022-09-25,2024-06-30,1,0.01,1.21,0.2988172,0.3509981,2024-07-12 23:22:07,202428,1,93 +nssp,pct_ed_visits_rsv,week,state,2022-09-25,2024-06-30,48,0.0,3.51,0.3487948,0.5227118,2024-07-12 23:22:07,202428,1,93 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18:53:53,20210502,16,735 +safegraph,completely_home_prop,day,msa,2019-01-01,2021-04-16,392,0.0396577198880759,0.7577088051783436,0.2965347,0.0598019,2021-05-02 18:53:55,20210502,16,735 +safegraph,completely_home_prop,day,nation,2020-12-01,2021-04-16,1,0.2206703,0.3855201209210644,0.2887108,0.0346086,2021-05-02 18:53:58,20210502,16,61 +safegraph,completely_home_prop,day,state,2019-01-01,2021-04-16,56,0.0575658,0.9310344827586208,0.3034599,0.0678677,2021-05-02 18:53:58,20210502,4,539 +safegraph,completely_home_prop_7dav,day,county,2019-01-01,2021-04-16,3230,0.021736285653585,0.8976667192456667,0.2795002,0.060135,2021-05-02 18:53:35,20210502,16,735 +safegraph,completely_home_prop_7dav,day,hhs,2020-12-01,2021-04-16,10,0.1994976,0.4040249,0.2932915,0.0421952,2021-05-02 18:53:53,20210502,16,61 +safegraph,completely_home_prop_7dav,day,hrr,2019-01-01,2021-04-16,306,0.0892735082523774,0.5674837168911971,0.293722,0.0513038,2021-05-02 18:53:53,20210502,16,735 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+usa-facts,deaths_7dav_cumulative_prop,day,msa,2020-02-01,2021-07-22,384,0.0,409.4583782,75.022065,79.4840691,2021-10-28 17:59:23,20211028,1,342 +usa-facts,deaths_7dav_cumulative_prop,day,nation,2020-02-01,2021-07-22,1,0.0,183.6858541,85.7442844,63.7179514,2021-07-24 17:53:53,20210724,1,356 +usa-facts,deaths_7dav_cumulative_prop,day,state,2020-02-01,2021-07-22,51,0.0,298.2372591,77.3747468,74.9940189,2021-10-28 17:59:23,20211028,1,312 +usa-facts,deaths_7dav_incidence_num,day,county,2020-02-01,2023-01-02,3193,-1140.0,1345.5714286,0.3135858,3.9649796,2023-01-04 20:24:49,20230104,1,628 +usa-facts,deaths_7dav_incidence_num,day,hhs,2020-02-01,2023-01-02,10,-514.1428571,1211.0,100.0959968,139.1133421,2023-01-04 20:24:53,20230104,1,617 +usa-facts,deaths_7dav_incidence_num,day,hrr,2020-02-01,2023-01-02,306,-565.9199931,430.8454645,3.0379385,9.6241823,2023-01-04 20:24:54,20230104,1,588 +usa-facts,deaths_7dav_incidence_num,day,msa,2020-02-01,2023-01-02,384,-1163.7142857,1185.0,1.9671742,12.5240928,2023-01-04 20:24:54,20230104,1,588 +usa-facts,deaths_7dav_incidence_num,day,nation,2020-02-01,2023-01-02,1,-41.2857143,3537.2857143,1000.9599679,811.1933866,2023-01-04 20:24:55,20230104,2,617 +usa-facts,deaths_7dav_incidence_num,day,state,2020-02-01,2023-01-02,51,-531.7142857,955.8571428571428,19.6267133,43.3457142,2023-01-04 20:24:55,20230104,1,617 +usa-facts,deaths_7dav_incidence_prop,day,county,2020-02-01,2023-01-02,3142,-1345.5069678,1345.5069678,0.3657449,1.8136157,2023-01-04 20:24:50,20230104,1,628 +usa-facts,deaths_7dav_incidence_prop,day,hhs,2020-02-01,2023-01-02,10,-3.4628319,4.183583,0.2882408,0.358071,2023-01-04 20:24:53,20230104,2,622 +usa-facts,deaths_7dav_incidence_prop,day,hrr,2020-02-01,2023-01-02,306,-38.6217947,14.3513787,0.3029906,0.5533538,2023-01-04 20:24:54,20230104,1,622 +usa-facts,deaths_7dav_incidence_prop,day,msa,2020-02-01,2023-01-02,384,-53.3820085,29.0639867,0.2956424,0.5762059,2023-01-04 20:24:55,20230104,1,622 +usa-facts,deaths_7dav_incidence_prop,day,nation,2020-02-01,2023-01-02,1,-0.0125308,1.0736135,0.3038047,0.246208,2023-01-04 20:24:55,20230104,2,622 +usa-facts,deaths_7dav_incidence_prop,day,state,2020-02-01,2023-01-02,51,-7.7131875,7.8089447,0.2947568,0.4184295,2023-01-04 20:24:55,20230104,1,622 +usa-facts,deaths_cumulative_num,day,county,2020-01-25,2023-01-02,3193,-6.0,46633.0,187.0525139,855.1497099,2023-01-04 20:24:50,20230104,1,635 +usa-facts,deaths_cumulative_num,day,hhs,2020-01-25,2023-01-02,10,0.0,250138.0,59318.2670391,57192.4003154,2023-01-04 20:24:53,20230104,1,617 +usa-facts,deaths_cumulative_num,day,hrr,2020-01-25,2023-01-02,306,0.0,34539.5623136,1874.025571,2942.5701208,2023-01-04 20:24:54,20230104,1,600 +usa-facts,deaths_cumulative_num,day,msa,2020-01-25,2023-01-02,384,0.0,84086.0,1239.8201199,4089.9341829,2023-01-04 20:24:55,20230104,1,600 +usa-facts,deaths_cumulative_num,day,nation,2020-01-25,2023-01-02,1,1.0,1068791.0,593182.6703911,361324.0341839,2023-01-04 20:24:55,20230104,2,617 +usa-facts,deaths_cumulative_num,day,state,2020-01-25,2023-01-02,51,0.0,97562.0,11705.6167019,16827.3441965,2023-01-04 20:24:55,20230104,1,617 +usa-facts,deaths_cumulative_prop,day,county,2020-01-25,2023-01-02,3142,0.0,9418.5487746,208.462631,186.8944545,2023-01-04 20:24:51,20230104,1,635 +usa-facts,deaths_cumulative_prop,day,hhs,2020-01-25,2023-01-02,10,0.0,390.3838766,172.7502603,112.6269236,2023-01-04 20:24:53,20230104,2,635 +usa-facts,deaths_cumulative_prop,day,hrr,2020-01-25,2023-01-02,306,0.0,599.3774413,181.0972097,136.1583754,2023-01-04 20:24:54,20230104,2,635 +usa-facts,deaths_cumulative_prop,day,msa,2020-01-25,2023-01-02,384,0.0,686.0646166,172.4510664,138.5730553,2023-01-04 20:24:55,20230104,1,635 +usa-facts,deaths_cumulative_prop,day,nation,2020-01-25,2023-01-02,1,0.0003035,324.3923586,180.0388715,109.6666754,2023-01-04 20:24:55,20230104,2,635 +usa-facts,deaths_cumulative_prop,day,state,2020-01-25,2023-01-02,51,0.0,441.4541527,171.4492517,124.1326156,2023-01-04 20:24:55,20230104,2,635 +usa-facts,deaths_incidence_num,day,county,2020-01-25,2023-01-02,3193,-7980.0,9356.0,0.3138132,9.4224201,2023-01-04 20:24:52,20230104,1,635 +usa-facts,deaths_incidence_num,day,hhs,2020-01-25,2023-01-02,10,-3719.0,3112.0,99.5148976,185.3103413,2023-01-04 20:24:53,20230104,1,617 +usa-facts,deaths_incidence_num,day,hrr,2020-01-25,2023-01-02,306,-3961.4399515,2948.8846453,3.0401694,18.3135562,2023-01-04 20:24:54,20230104,1,588 +usa-facts,deaths_incidence_num,day,msa,2020-01-25,2023-01-02,384,-8147.0,3165.0,1.9685633,21.1782972,2023-01-04 20:24:55,20230104,1,588 +usa-facts,deaths_incidence_num,day,nation,2020-01-25,2023-01-02,1,-2889.0,5057.0,995.1489758,972.6433335,2023-01-04 20:24:55,20230104,2,617 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20:24:55,20230104,1,622 +youtube-survey,raw_cli,day,state,2020-04-21,2020-06-01,19,0.0,3.083081763746322,0.8598539,0.6421984,2020-06-02 11:51:34,20200603,2,11 +youtube-survey,raw_ili,day,state,2020-04-21,2020-06-01,19,0.0,3.1956943281688743,0.8591775,0.6492578,2020-06-02 11:51:34,20200603,2,11 +youtube-survey,smoothed_cli,day,state,2020-04-21,2020-06-22,42,0.0,4.5321637426900585,0.8980185,0.5737264,2020-06-24 12:51:35,20200625,2,11 +youtube-survey,smoothed_ili,day,state,2020-04-21,2020-06-22,42,0.0,4.5321637426900585,0.8926679,0.5741616,2020-06-24 12:51:35,20200625,2,11 diff --git a/google_symptoms/tests/test_data/state_2024-05-16_2024-07-18.csv b/google_symptoms/tests/test_data/state_2024-05-16_2024-07-18.csv new file mode 100644 index 000000000..fe57da820 --- /dev/null +++ b/google_symptoms/tests/test_data/state_2024-05-16_2024-07-18.csv @@ -0,0 +1,1081 @@ 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+181,US-AR,2024-05-17,3.52,0.27,,0.17,1.25,0.11,0.2,1.27,0.2,5.36,2.34,0.22,0.16,0.16,,0.46,0.17,0.16,0.91,1.46,,0.36,0.51,,,,,1.29,,4.82,3.46,3.24,2.04,1.72 +182,US-AR,2024-05-18,3.84,0.49,,0.13,1.37,0.14,0.3,1.4,0.12,5.77,2.47,0.35,0.17,,,0.41,,0.19,0.82,1.24,,0.32,0.46,,,,,1.28,,4.58,3.23,3.59,2.25,1.85 +183,US-AR,2024-05-19,3.61,0.33,,0.15,1.39,0.19,0.22,1.36,0.25,5.6,2.37,0.24,,0.13,,0.44,0.17,0.14,0.68,1.14,,0.38,0.57,,,,,1.3,,4.85,3.32,3.65,2.27,2.09 +184,US-AR,2024-05-20,3.75,0.37,,0.14,1.36,0.1,0.24,1.32,0.2,5.59,2.52,0.26,0.15,,,0.42,0.18,0.15,0.97,1.68,,0.44,0.58,,,,0.1,1.27,,5.26,3.81,3.54,2.3,2.1 +185,US-AR,2024-05-21,3.88,0.27,,0.2,1.14,0.1,0.24,1.29,0.25,5.53,2.44,0.23,0.14,0.1,,0.44,0.17,0.27,0.99,1.65,,0.3,0.52,,,,,1.36,0.12,5.31,3.65,3.48,2.23,1.96 +186,US-AR,2024-05-22,3.83,0.36,,0.17,1.17,0.1,0.35,1.24,0.18,5.34,2.38,0.15,0.13,,,0.44,0.17,0.21,0.91,1.58,,0.31,0.53,,,,,1.24,,5.46,3.76,3.36,2.52,2.03 +187,US-AR,2024-05-23,3.83,0.35,,0.21,1.24,0.13,0.27,1.26,0.2,5.42,2.31,0.2,0.13,,,0.44,0.22,0.2,0.92,1.76,,0.35,0.54,,,,,1.3,,5.4,3.71,3.59,2.45,1.93 +188,US-AR,2024-05-24,3.74,0.23,,0.15,1.11,0.15,0.22,1.34,0.23,5.29,2.41,0.23,,,,0.53,0.15,0.21,0.91,1.37,,0.28,0.55,,,,0.16,1.36,0.17,5.08,3.67,3.41,2.31,2.02 +189,US-AR,2024-05-25,3.81,0.39,,0.3,1.36,0.13,0.15,1.36,0.18,5.85,2.73,0.35,0.14,,,0.42,0.15,0.16,0.8,1.06,,0.37,0.48,,,,,1.37,0.15,4.46,3.68,3.65,2.35,2.08 +190,US-AR,2024-05-26,3.65,0.31,,0.13,1.24,,0.18,1.15,0.15,5.3,2.21,0.34,0.21,,,0.44,0.18,0.12,0.75,1.15,,0.3,0.53,,,,,1.33,0.17,4.25,3.4,3.6,2.0,1.96 +191,US-AR,2024-05-27,3.5,0.33,0.15,0.16,1.16,,0.22,1.13,0.19,5.41,2.42,0.32,0.15,0.15,,0.38,0.17,,0.84,1.19,,0.26,0.49,,,,,1.34,,4.31,3.44,3.81,2.43,2.04 +192,US-AR,2024-05-28,4.09,0.34,,0.18,1.31,0.14,0.11,1.42,0.24,5.87,2.68,0.21,0.15,0.1,,0.51,0.18,0.19,1.05,1.84,,0.39,0.59,,,,,1.46,,5.22,4.04,3.57,2.51,2.35 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+1464,US-MS,2024-06-09,3.25,0.34,,,1.21,,0.19,1.38,,5.24,2.07,0.23,0.17,0.15,,0.43,0.19,,0.84,1.19,,0.25,0.35,,,,0.16,1.21,,4.53,3.68,4.01,5.25,1.81 +1465,US-MS,2024-06-10,3.62,0.26,,,1.26,0.12,0.22,1.4,0.21,5.24,2.23,0.27,0.15,,,0.58,0.19,0.14,0.99,1.94,,0.28,0.34,,,,,1.31,,5.78,4.73,3.71,5.18,2.16 +1466,US-MS,2024-06-11,3.63,0.31,0.13,0.13,1.29,0.15,0.2,1.44,0.22,5.07,2.05,0.19,,,,0.56,0.24,,1.15,1.65,,0.23,0.49,,,,,1.27,,6.07,4.63,3.77,2.97,2.14 +1467,US-MS,2024-06-12,3.3,0.19,0.13,0.16,1.19,,0.19,1.35,0.19,5.0,2.37,0.28,0.16,0.18,,0.48,0.27,0.19,1.1,1.89,,0.29,0.42,,,,,1.24,,6.19,4.67,3.92,2.95,2.22 +1468,US-MS,2024-06-13,2.99,0.24,,0.13,1.15,,0.21,1.44,0.2,4.93,2.32,0.29,0.17,,,0.36,0.2,,0.94,1.8,,0.2,0.43,,,,,1.19,,5.88,4.6,3.8,2.9,2.18 +1469,US-MS,2024-06-14,3.29,0.28,,0.15,1.11,,0.18,1.34,,4.82,2.11,0.27,0.19,,,0.47,0.17,,0.89,1.66,,0.24,0.39,,,,,1.19,,5.09,4.35,3.65,2.79,2.42 +1470,US-MS,2024-06-15,3.03,0.32,,,1.17,,0.26,1.19,0.2,4.67,2.1,0.33,,,,0.49,0.18,,0.82,1.12,,0.27,0.26,,,,,1.06,,4.35,3.65,3.76,2.36,2.49 +1471,US-MS,2024-06-16,3.11,0.29,,0.21,1.16,,,1.16,0.33,4.68,2.09,0.39,0.15,,,0.48,0.24,,0.81,1.22,,0.21,0.42,,,,,1.18,0.17,4.39,3.5,3.73,2.6,2.1 +1472,US-MS,2024-06-17,3.44,0.24,,0.14,1.23,,0.17,1.32,0.12,4.91,2.26,0.26,0.13,0.12,,0.47,0.18,,0.94,1.86,,0.27,0.47,,,,,1.18,,5.78,4.96,3.65,3.01,2.33 +1473,US-MS,2024-06-18,3.46,0.32,,0.14,1.09,,0.13,1.29,0.2,4.93,2.23,0.25,0.15,0.12,,0.57,0.19,0.15,1.05,1.87,,0.3,0.54,,,,,1.11,0.14,6.51,4.98,3.64,3.14,2.11 +1474,US-MS,2024-06-19,3.47,0.31,,0.17,1.22,0.13,0.2,1.31,0.17,4.97,2.37,0.36,0.15,,,0.49,0.17,,0.94,1.84,,0.23,0.34,,,,,1.21,,5.86,4.81,3.94,2.97,2.28 +1475,US-MS,2024-06-20,3.27,0.29,,0.14,1.21,,0.23,1.21,0.24,4.97,2.81,0.24,0.13,,,0.54,0.23,0.12,0.96,1.84,,0.2,0.36,,,,,1.21,,6.0,4.95,3.65,3.08,2.16 +1476,US-MS,2024-06-21,3.39,0.13,,0.15,1.32,,0.2,1.25,0.2,4.83,2.45,0.42,0.13,0.13,,0.58,0.19,,0.99,1.6,,0.24,0.42,,,,,1.2,,5.26,4.49,3.71,2.7,2.04 +1477,US-MS,2024-06-22,3.05,0.26,,,1.17,,0.19,1.28,0.18,4.88,2.01,0.35,,,,0.57,,,0.81,1.11,,0.23,0.38,,,,,1.1,,4.5,3.82,3.77,2.51,1.79 +1478,US-MS,2024-06-23,3.23,0.3,,,1.27,,0.25,1.4,0.15,5.07,2.57,0.43,0.18,,,0.54,0.18,,0.8,1.33,,0.29,0.31,,,,,1.2,,4.61,4.15,4.24,2.75,2.25 +1479,US-MS,2024-06-24,3.29,0.19,,0.12,1.2,,0.2,1.4,0.2,5.08,2.48,0.49,0.12,0.15,,0.6,0.22,0.12,0.92,2.0,,0.21,0.4,,,,,1.24,,6.01,4.62,3.66,3.07,2.39 +1480,US-MS,2024-06-25,3.14,0.31,0.14,,1.18,,0.22,1.33,0.16,4.84,2.49,0.62,0.16,0.12,,0.59,0.21,,0.81,1.91,,0.22,0.32,,,,,1.11,0.13,5.91,4.61,3.82,3.06,2.25 +1481,US-MS,2024-06-26,3.34,0.25,,0.16,1.1,0.14,0.25,1.31,0.18,4.91,2.89,0.38,0.14,,,0.49,0.18,0.13,0.97,1.86,,0.21,0.35,,,,,1.27,,5.78,4.64,3.7,2.96,2.23 +1482,US-MS,2024-06-27,3.18,0.27,0.13,,1.22,,0.21,1.32,0.25,4.93,2.58,0.36,0.16,0.13,,0.48,0.12,0.16,0.86,1.78,,0.26,0.37,,,,,1.17,0.14,5.52,4.77,3.73,2.99,2.21 +1483,US-MS,2024-06-28,3.1,0.31,,,1.09,,0.19,1.21,0.21,4.53,2.21,0.23,0.17,0.13,,0.51,0.17,,0.69,1.78,,0.17,0.38,,,,,1.08,,5.1,4.62,3.68,2.82,1.98 +1484,US-MS,2024-06-29,3.1,0.3,,0.19,1.11,,0.17,1.21,0.18,4.62,2.16,0.28,0.17,0.14,,0.46,,,0.7,1.04,,0.21,0.46,,,,,1.03,,4.11,4.2,4.05,2.57,1.86 +1485,US-MS,2024-06-30,3.11,0.33,,,1.15,,,1.06,,4.59,2.22,0.3,0.14,,,0.42,0.2,0.14,0.6,1.15,,0.2,0.39,,,,,1.05,,4.17,3.88,4.14,2.71,1.98 +1486,US-MS,2024-07-01,3.08,0.27,,0.12,1.16,,0.18,1.35,0.21,4.82,2.43,0.43,0.12,,,0.55,0.12,0.2,0.94,1.75,,0.2,0.44,,,,,1.08,0.12,5.35,4.56,3.89,2.81,2.16 +1487,US-MS,2024-07-02,3.34,0.23,,0.14,1.2,,0.18,1.34,0.24,4.95,2.57,0.61,0.14,,,0.5,0.15,,0.88,1.81,,0.21,0.49,,,,,1.2,,5.64,4.69,3.71,2.94,2.34 +1488,US-MS,2024-07-03,3.19,0.27,,,1.18,,0.23,1.29,0.17,4.74,2.88,0.53,,,,0.44,0.17,,0.97,1.78,,0.23,0.42,,,,,1.11,,5.19,4.52,3.59,3.14,2.08 +1489,US-MS,2024-07-04,2.73,0.24,,,1.08,,0.16,1.21,,4.35,2.27,0.44,0.16,0.16,,0.47,0.15,,0.79,0.99,,0.18,0.33,,,,,1.1,,4.26,3.69,3.58,2.52,1.69 +1490,US-MS,2024-07-05,3.19,0.27,,,1.26,,0.22,1.22,0.18,4.81,1.9,0.33,0.17,,,0.58,0.24,,0.88,1.3,,0.23,0.36,,,,,1.1,,4.57,4.15,3.69,2.88,1.85 +1491,US-MS,2024-07-06,3.19,0.21,,,1.4,0.15,0.17,1.22,0.18,5.09,2.47,0.33,0.17,,,0.46,0.17,0.17,0.74,1.13,,,0.33,,,,,1.19,0.18,4.11,4.37,4.03,2.88,2.01 +1492,US-MS,2024-07-07,3.12,0.31,,0.17,1.16,,0.16,1.22,,5.02,2.5,0.39,0.18,,,0.49,0.16,,0.76,1.22,,0.21,0.34,,,,,1.11,0.21,4.49,4.05,4.15,2.65,1.94 +1493,US-MS,2024-07-08,3.39,0.25,,0.15,1.23,0.12,0.19,1.28,0.2,5.05,2.45,0.38,0.18,,,0.52,0.14,,0.96,2.15,,0.26,0.48,,,,,1.19,,5.46,4.79,3.36,2.95,2.14 +1494,US-MS,2024-07-09,3.62,0.21,,,1.39,,0.22,1.29,0.16,5.14,2.64,0.28,0.14,0.16,,0.69,0.16,0.14,0.81,1.94,,0.23,0.47,,0.14,,,1.12,,5.73,4.76,3.59,2.97,2.12 +1495,US-MS,2024-07-10,3.29,0.3,0.12,,1.36,,0.22,1.46,0.27,5.2,2.54,0.41,0.13,,0.13,0.61,0.17,,0.81,1.86,,0.27,0.45,,,,,1.22,,5.51,4.77,3.63,3.14,2.25 +1496,US-MS,2024-07-11,3.44,0.3,0.12,,1.32,0.13,0.24,1.45,0.17,5.24,2.57,0.35,0.15,0.13,,0.53,0.23,0.13,0.9,1.94,,0.31,0.41,,,,,1.17,,5.62,4.7,4.12,2.98,2.25 +1497,US-MS,2024-07-12,3.16,0.24,,0.13,1.37,,0.28,1.37,0.18,5.03,2.7,0.41,0.19,0.13,,0.41,0.2,,0.83,1.67,,0.22,0.34,,,,,1.18,,5.23,4.52,3.69,2.84,1.88 +1498,US-MS,2024-07-13,3.0,0.19,0.16,0.14,1.19,0.15,0.16,1.26,0.15,4.68,2.27,0.34,0.19,,,0.46,0.21,,0.75,1.04,,0.19,0.33,,,,,0.95,,4.08,3.93,3.88,2.72,1.89 +1499,US-MS,2024-07-14,3.2,0.32,,,1.19,0.13,0.21,1.24,0.19,4.93,2.34,0.4,0.14,0.14,,0.48,0.14,,0.69,1.25,,0.22,0.29,,,,,1.28,0.14,3.89,3.97,3.77,2.61,1.81 +1800,US-NJ,2024-05-16,4.2,0.41,0.12,0.14,1.6,0.17,0.29,1.43,0.34,6.51,2.67,0.22,0.14,0.11,0.07,0.44,0.16,0.15,0.85,1.92,0.03,0.29,0.46,0.04,0.04,0.03,0.09,1.76,0.12,4.93,3.27,4.64,1.99,2.23 +1801,US-NJ,2024-05-17,3.98,0.39,0.1,0.15,1.53,0.15,0.29,1.34,0.3,6.16,2.5,0.15,0.15,0.1,0.07,0.44,0.17,0.17,0.84,1.81,0.03,0.3,0.49,0.04,0.04,,0.1,1.63,0.15,4.48,3.03,4.59,1.92,1.99 +1802,US-NJ,2024-05-18,4.22,0.46,0.1,0.15,1.64,0.17,0.31,1.3,0.31,6.47,2.58,0.26,0.12,0.1,0.06,0.37,0.17,0.18,0.74,1.46,0.05,0.27,0.44,0.05,0.04,,0.1,1.65,0.15,4.42,2.95,5.25,2.01,2.08 +1803,US-NJ,2024-05-19,3.99,0.46,0.09,0.13,1.54,0.19,0.29,1.28,0.32,6.22,2.43,0.18,0.12,0.09,0.08,0.41,0.19,0.15,0.73,1.42,0.03,0.28,0.44,0.04,0.04,0.04,0.12,1.59,0.15,4.37,2.77,5.15,2.0,2.21 +1804,US-NJ,2024-05-20,4.09,0.44,0.09,0.14,1.6,0.18,0.32,1.35,0.34,6.34,2.78,0.3,0.14,0.12,0.07,0.47,0.17,0.18,0.87,2.0,0.04,0.3,0.44,0.03,0.04,0.04,0.11,1.78,0.14,4.82,3.2,4.97,2.11,2.27 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+1912,US-NM,2024-07-07,2.77,0.27,,,1.09,,0.17,1.1,,4.67,2.17,0.4,0.15,,,0.32,,,0.6,1.07,,,0.31,,,,,1.04,,3.89,3.25,4.09,2.03,1.77 +1913,US-NM,2024-07-08,2.88,0.31,,,1.18,0.15,0.22,1.13,0.25,4.66,2.5,0.36,,,,0.36,0.15,0.14,0.66,1.88,,,0.42,,,,,1.2,,4.59,3.7,3.55,2.15,1.98 +1914,US-NM,2024-07-09,2.63,,0.19,,1.06,,0.16,1.02,0.23,4.45,2.6,0.33,,,,0.4,0.16,,0.64,1.72,,0.14,0.32,,,,,0.95,,4.78,3.56,3.69,2.17,1.78 +1915,US-NM,2024-07-10,2.81,0.24,0.16,,1.25,,0.15,1.16,0.25,4.45,2.47,0.38,0.18,,,0.49,0.14,,0.64,1.61,,0.17,0.4,,,,,1.17,,4.85,3.54,3.67,2.3,2.0 +1916,US-NM,2024-07-11,2.77,0.19,,,1.07,,0.17,0.98,0.2,4.54,2.54,0.47,0.2,,0.14,0.39,0.15,,0.65,1.56,,,0.37,,,,,1.18,,5.21,3.65,3.77,2.14,1.83 +1917,US-NM,2024-07-12,2.69,0.26,,,1.23,,,1.07,0.2,4.56,2.33,0.44,,,,0.38,,,0.58,1.86,,,0.28,,,,,0.88,,4.51,3.19,3.23,2.03,1.64 +1918,US-NM,2024-07-13,2.65,0.2,,,1.1,,0.21,0.91,0.35,4.12,2.27,0.46,,,,,,,0.66,1.04,,0.2,0.22,,,,,0.98,,3.89,3.01,3.67,1.89,1.54 +1919,US-NM,2024-07-14,2.58,0.28,,0.17,1.2,,0.19,0.96,,4.33,2.4,0.53,0.17,,,0.46,,,0.49,1.16,,,0.3,,,,,0.96,,3.59,2.79,3.92,1.84,1.66 +1980,US-NC,2024-05-16,3.71,0.31,0.09,0.15,1.31,0.1,0.24,1.3,0.22,5.61,2.38,0.22,0.11,0.09,0.05,0.47,0.14,0.14,0.78,1.77,0.04,0.28,0.46,0.04,0.05,0.03,0.07,1.5,0.1,4.92,3.27,3.81,2.17,1.98 +1981,US-NC,2024-05-17,3.69,0.33,0.1,0.15,1.32,0.11,0.24,1.23,0.21,5.44,2.18,0.15,0.11,0.09,0.07,0.41,0.15,0.12,0.86,1.57,0.04,0.25,0.42,,0.05,0.03,0.07,1.43,0.09,4.42,3.25,3.73,2.14,1.81 +1982,US-NC,2024-05-18,3.68,0.33,0.06,0.13,1.41,0.12,0.2,1.27,0.18,5.6,2.33,0.26,0.08,0.06,0.05,0.41,0.13,0.12,0.72,1.22,0.03,0.29,0.44,0.05,0.05,0.04,0.1,1.41,0.1,4.24,3.02,4.3,2.1,1.89 +1983,US-NC,2024-05-19,3.62,0.33,0.08,0.13,1.38,0.12,0.23,1.26,0.19,5.58,2.17,0.14,0.14,0.09,0.05,0.4,0.15,0.12,0.77,1.24,0.03,0.26,0.39,0.04,0.04,0.03,0.1,1.47,0.1,4.38,3.0,4.2,2.16,2.0 +1984,US-NC,2024-05-20,3.74,0.29,0.08,0.15,1.28,0.12,0.24,1.29,0.21,5.67,2.49,0.24,0.12,0.08,0.05,0.43,0.16,0.14,0.85,1.74,0.04,0.31,0.5,0.06,0.03,0.04,0.09,1.52,0.11,4.89,3.41,3.96,2.28,2.11 +1985,US-NC,2024-05-21,3.81,0.32,0.09,0.13,1.35,0.12,0.3,1.32,0.21,5.75,2.45,0.22,0.13,0.07,0.06,0.43,0.16,0.12,0.84,1.77,0.03,0.29,0.46,0.03,0.05,,0.09,1.47,0.12,4.98,3.43,3.97,2.32,2.14 +1986,US-NC,2024-05-22,3.81,0.29,0.1,0.14,1.28,0.12,0.41,1.3,0.24,5.74,2.43,0.23,0.13,0.09,0.05,0.44,0.15,0.16,0.84,1.83,0.03,0.24,0.45,0.04,0.03,0.02,0.08,1.52,0.11,5.19,3.32,3.94,2.28,2.08 +1987,US-NC,2024-05-23,3.55,0.3,0.09,0.17,1.3,0.11,0.24,1.31,0.23,5.45,2.45,0.24,0.1,0.09,0.05,0.42,0.17,0.15,0.88,1.69,0.05,0.27,0.42,0.03,0.05,0.02,0.09,1.52,0.11,4.81,3.18,3.89,2.26,2.0 +1988,US-NC,2024-05-24,3.59,0.32,0.1,0.13,1.37,0.1,0.23,1.24,0.19,5.69,2.4,0.25,0.13,0.1,0.04,0.39,0.14,0.13,0.76,1.59,0.04,0.28,0.42,0.03,0.04,0.03,0.08,1.48,0.11,4.68,3.26,3.85,2.23,1.94 +1989,US-NC,2024-05-25,3.76,0.41,0.09,0.13,1.48,0.12,0.24,1.33,0.2,6.01,2.51,0.27,0.14,0.08,0.05,0.42,0.15,0.12,0.7,1.24,,0.25,0.42,0.03,0.05,0.03,0.08,1.6,0.15,4.28,3.08,4.32,2.09,2.1 +1990,US-NC,2024-05-26,3.65,0.37,0.08,0.11,1.37,0.13,0.23,1.31,0.19,5.72,2.33,0.27,0.14,0.11,0.05,0.45,0.17,0.1,0.71,1.24,0.03,0.25,0.41,0.03,0.03,0.04,0.1,1.54,0.15,4.13,3.11,4.17,2.11,2.12 +1991,US-NC,2024-05-27,3.53,0.36,0.1,0.14,1.34,0.11,0.25,1.26,0.21,5.68,2.42,0.18,0.15,0.12,0.07,0.42,0.17,0.13,0.72,1.29,0.04,0.26,0.39,0.04,0.06,0.03,0.09,1.5,0.13,4.28,3.09,4.34,2.18,2.24 +1992,US-NC,2024-05-28,3.75,0.35,0.09,0.16,1.34,0.12,0.26,1.36,0.24,5.8,2.78,0.23,0.17,0.12,0.07,0.51,0.21,0.15,0.83,1.9,0.04,0.29,0.47,0.03,0.04,0.03,0.1,1.53,0.13,4.88,3.58,4.11,2.38,2.48 +1993,US-NC,2024-05-29,3.89,0.38,0.11,0.15,1.34,0.13,0.27,1.38,0.23,5.78,2.63,0.21,0.15,0.11,0.06,0.47,0.18,0.14,0.84,1.84,0.05,0.28,0.46,0.03,0.05,0.03,0.1,1.53,0.11,4.78,3.52,4.06,2.39,2.44 +1994,US-NC,2024-05-30,3.87,0.36,0.11,0.14,1.4,0.1,0.26,1.36,0.24,5.78,2.58,0.21,0.14,0.11,0.06,0.46,0.16,0.12,0.81,1.8,0.05,0.27,0.46,0.03,0.05,0.03,0.08,1.55,0.13,4.45,3.48,4.05,2.36,2.38 +1995,US-NC,2024-05-31,3.69,0.36,0.09,0.15,1.34,0.13,0.26,1.35,0.21,5.51,2.39,0.18,0.14,0.11,0.07,0.44,0.16,0.12,0.79,1.65,0.04,0.25,0.42,0.03,0.04,0.03,0.1,1.47,0.12,4.22,3.4,3.92,2.24,2.04 +1996,US-NC,2024-06-01,3.64,0.4,0.1,0.13,1.41,0.14,0.24,1.29,0.19,5.77,2.47,0.28,0.15,0.12,0.05,0.41,0.17,0.11,0.69,1.23,0.03,0.27,0.43,0.04,0.05,,0.08,1.51,0.11,3.82,3.09,4.28,2.09,2.16 +1997,US-NC,2024-06-02,3.52,0.38,0.08,0.15,1.36,0.12,0.27,1.32,0.2,5.69,2.44,0.24,0.16,0.12,0.04,0.42,0.18,0.12,0.72,1.24,0.04,0.27,0.43,0.05,0.04,,0.08,1.46,0.14,4.02,3.09,4.44,2.18,2.31 +1998,US-NC,2024-06-03,3.69,0.35,0.09,0.14,1.29,0.13,0.26,1.29,0.2,5.52,2.35,0.2,0.14,0.1,0.07,0.45,0.18,0.14,0.81,1.87,0.04,0.27,0.43,0.03,0.05,,0.08,1.46,0.12,4.8,3.53,4.06,2.35,2.34 +1999,US-NC,2024-06-04,4.02,0.35,0.1,0.15,1.29,0.12,0.22,1.33,0.21,5.48,2.44,0.23,0.14,0.11,0.04,0.46,0.17,0.13,0.78,1.78,0.04,0.26,0.43,0.04,0.05,0.03,0.07,1.4,0.12,5.06,3.5,4.03,2.36,2.33 +2000,US-NC,2024-06-05,3.45,0.32,0.1,0.14,1.2,0.11,0.23,1.25,0.21,5.13,2.31,0.18,0.11,0.09,0.07,0.43,0.17,0.11,0.81,1.8,0.04,0.26,0.39,0.05,0.05,0.03,0.1,1.3,0.1,4.92,3.59,3.97,2.36,2.21 +2001,US-NC,2024-06-06,3.3,0.29,0.08,0.14,1.18,0.11,0.22,1.17,0.19,4.88,2.25,0.2,0.1,0.08,0.04,0.42,0.14,0.12,0.79,1.69,0.02,0.24,0.4,0.04,0.04,0.03,0.07,1.23,0.1,4.62,3.42,3.8,2.81,2.03 +2002,US-NC,2024-06-07,3.21,0.26,0.08,0.15,1.16,0.1,0.21,1.11,0.18,4.78,2.19,0.23,0.12,0.11,0.05,0.39,0.15,0.11,0.76,1.49,0.03,0.21,0.37,0.04,0.05,0.03,0.07,1.21,0.09,4.33,3.25,3.81,4.28,1.88 +2003,US-NC,2024-06-08,3.09,0.28,0.08,0.1,1.23,0.1,0.21,1.15,0.2,4.93,2.15,0.26,0.12,0.09,0.03,0.4,0.17,0.11,0.65,1.11,0.03,0.22,0.36,,0.04,0.03,0.09,1.22,0.09,3.76,2.97,3.93,2.36,1.79 +2004,US-NC,2024-06-09,3.19,0.29,0.09,0.12,1.22,0.09,0.22,1.16,0.17,4.91,2.23,0.2,0.12,0.07,0.05,0.42,0.16,0.11,0.8,1.16,0.03,0.25,0.39,0.03,0.04,0.03,0.08,1.25,0.12,4.04,2.9,4.09,4.31,1.89 +2005,US-NC,2024-06-10,3.3,0.28,0.09,0.12,1.2,0.1,0.22,1.17,0.23,5.0,2.25,0.24,0.14,0.07,0.04,0.45,0.17,0.1,0.83,1.82,0.06,0.24,0.44,0.04,0.03,0.02,0.08,1.25,0.09,4.71,3.33,3.84,4.24,2.07 +2006,US-NC,2024-06-11,3.32,0.27,0.1,0.14,1.2,0.11,0.23,1.2,0.18,5.05,2.33,0.18,0.11,0.1,0.06,0.47,0.15,0.11,0.9,1.83,0.03,0.24,0.37,0.02,0.05,0.04,0.07,1.32,0.1,4.98,3.51,3.88,2.43,2.06 +2007,US-NC,2024-06-12,3.3,0.28,0.07,0.14,1.2,0.1,0.21,1.2,0.2,4.99,2.34,0.18,0.14,0.09,0.04,0.43,0.16,0.15,0.95,1.82,0.03,0.24,0.36,0.02,0.05,0.03,0.06,1.27,0.09,5.08,3.49,3.94,2.37,2.09 +2008,US-NC,2024-06-13,3.11,0.25,0.08,0.13,1.15,0.1,0.21,1.14,0.19,4.78,2.3,0.27,0.12,0.1,0.05,0.46,0.14,0.1,0.77,1.72,0.04,0.22,0.35,0.03,0.05,,0.05,1.23,0.1,4.72,3.44,3.96,2.37,2.07 +2009,US-NC,2024-06-14,3.13,0.28,0.09,0.11,1.16,0.1,0.21,1.14,0.18,4.65,2.23,0.29,0.12,0.09,0.04,0.41,0.15,0.1,0.76,1.5,0.05,0.21,0.35,,0.04,0.03,0.06,1.13,0.11,4.36,3.27,3.79,2.21,1.93 +2010,US-NC,2024-06-15,3.0,0.33,0.07,0.11,1.18,0.1,0.22,1.14,0.16,4.65,2.15,0.28,0.12,0.09,0.04,0.35,0.13,0.1,0.76,1.15,0.03,0.2,0.34,,0.03,0.04,0.07,1.1,0.09,3.83,3.0,4.05,2.1,1.85 +2011,US-NC,2024-06-16,2.98,0.24,0.1,0.11,1.11,0.11,0.2,1.13,0.25,4.81,2.29,0.34,0.14,0.11,0.05,0.38,0.15,0.1,0.78,1.19,0.04,0.21,0.36,0.03,0.03,0.03,0.07,1.07,0.09,3.81,2.94,3.87,2.08,1.88 +2012,US-NC,2024-06-17,3.13,0.27,0.08,0.11,1.16,0.11,0.21,1.22,0.19,4.81,2.4,0.24,0.1,0.08,0.05,0.47,0.15,0.12,0.82,1.74,0.03,0.23,0.39,0.03,0.03,0.02,0.07,1.2,0.09,4.65,3.46,3.91,2.33,2.12 +2013,US-NC,2024-06-18,3.13,0.29,0.08,0.13,1.2,0.12,0.21,1.17,0.19,4.84,2.29,0.28,0.12,0.08,0.04,0.46,0.15,0.14,0.85,1.8,0.03,0.25,0.4,0.02,0.05,0.02,0.05,1.19,0.07,4.95,3.45,4.03,2.4,2.11 +2014,US-NC,2024-06-19,3.05,0.28,0.08,0.14,1.18,0.1,0.22,1.22,0.2,4.88,2.35,0.31,0.12,0.08,0.06,0.44,0.15,0.1,0.78,1.7,0.04,0.24,0.36,0.03,0.04,0.03,0.06,1.2,0.08,4.87,3.45,4.15,2.43,2.13 +2015,US-NC,2024-06-20,3.05,0.27,0.07,0.13,1.1,0.1,0.2,1.17,0.17,4.68,2.35,0.27,0.12,0.08,0.05,0.42,0.17,0.07,0.74,1.71,0.04,0.23,0.36,0.03,,0.03,0.07,1.17,0.07,4.79,3.48,3.92,2.4,2.02 +2016,US-NC,2024-06-21,2.96,0.25,0.08,0.1,1.1,0.09,0.19,1.2,0.19,4.62,2.35,0.35,0.13,0.09,0.03,0.38,0.13,0.1,0.68,1.54,0.04,0.19,0.34,,0.04,,0.07,1.15,0.09,4.55,3.49,3.86,2.23,1.88 +2017,US-NC,2024-06-22,2.94,0.27,0.08,0.1,1.13,0.09,0.21,1.11,0.18,4.6,2.27,0.4,0.11,0.08,0.03,0.38,0.14,0.11,0.6,1.08,0.03,0.24,0.33,0.03,0.04,,0.07,1.12,0.08,4.0,3.01,4.07,2.09,1.87 +2018,US-NC,2024-06-23,3.0,0.29,0.07,0.12,1.18,0.11,0.21,1.07,0.17,4.76,2.5,0.45,0.17,0.1,0.04,0.42,0.13,0.09,0.59,1.12,,0.21,0.29,0.04,0.04,0.03,0.07,1.16,0.1,4.02,3.04,4.1,2.19,2.05 +2019,US-NC,2024-06-24,3.02,0.26,0.1,0.11,1.09,0.1,0.2,1.15,0.19,4.51,2.26,0.38,0.12,0.1,0.05,0.45,0.15,0.1,0.73,1.74,0.04,0.22,0.36,0.03,0.04,0.02,0.07,1.11,0.08,4.91,3.56,3.93,2.38,2.07 +2020,US-NC,2024-06-25,3.06,0.25,0.1,0.12,1.1,0.1,0.22,1.17,0.18,4.62,2.63,0.36,0.12,0.09,0.05,0.46,0.17,0.1,0.78,1.7,0.04,0.19,0.33,0.04,0.04,,0.06,1.15,0.09,4.97,3.58,3.96,2.39,2.08 +2021,US-NC,2024-06-26,2.98,0.27,0.07,0.11,1.06,0.1,0.2,1.12,0.18,4.61,3.01,0.46,0.11,0.09,,0.47,0.17,0.09,1.01,1.73,0.03,0.21,0.34,0.02,0.05,,0.07,1.11,0.08,4.92,3.5,3.94,2.35,2.12 +2022,US-NC,2024-06-27,2.93,0.24,0.08,0.12,1.03,0.1,0.19,1.06,0.2,4.46,2.54,0.31,0.09,0.07,0.05,0.42,0.16,0.11,0.77,1.63,0.03,0.2,0.34,0.03,0.06,0.03,0.06,1.13,0.08,4.51,3.41,3.96,2.3,2.03 +2023,US-NC,2024-06-28,2.82,0.27,0.08,0.11,1.05,0.07,0.19,1.05,0.17,4.32,2.49,0.26,0.1,0.07,0.04,0.37,0.13,0.09,0.73,1.47,0.04,0.2,0.32,0.03,0.05,0.03,0.06,1.07,0.09,4.11,3.46,3.76,2.19,1.85 +2024,US-NC,2024-06-29,2.82,0.24,0.07,0.09,1.1,0.09,0.19,1.1,0.17,4.53,2.35,0.41,0.11,0.07,0.03,0.38,0.13,0.08,0.58,1.03,0.04,0.18,0.33,0.03,0.04,,0.04,1.06,0.09,3.64,2.99,4.09,2.13,1.77 +2025,US-NC,2024-06-30,2.8,0.26,0.05,0.11,1.04,0.07,0.2,1.0,0.16,4.39,2.51,0.46,0.12,0.09,0.04,0.41,0.16,0.1,0.61,1.12,0.03,0.19,0.28,0.03,0.04,0.04,0.06,1.08,0.08,3.67,3.06,4.17,2.11,1.8 +2026,US-NC,2024-07-01,2.94,0.23,0.09,0.11,0.99,0.1,0.21,1.05,0.18,4.42,2.41,0.3,0.12,0.08,0.04,0.42,0.14,0.1,0.74,1.69,0.03,0.21,0.34,0.04,0.04,0.03,0.07,1.06,0.06,4.43,3.45,3.8,2.23,1.91 +2027,US-NC,2024-07-02,3.01,0.26,0.07,0.1,1.18,0.09,0.21,1.18,0.19,4.57,2.6,0.32,0.12,0.1,0.05,0.44,0.14,0.09,0.74,1.65,0.03,0.2,0.37,0.03,0.06,0.03,0.06,1.09,0.08,4.53,3.5,3.77,2.31,2.02 +2028,US-NC,2024-07-03,2.84,0.23,0.09,0.12,1.14,0.08,0.2,1.13,0.18,4.51,2.84,0.26,0.12,0.09,0.03,0.41,0.15,0.09,0.76,1.61,0.04,0.2,0.35,0.03,0.06,,0.07,1.05,0.07,4.48,3.54,3.82,2.29,1.86 +2029,US-NC,2024-07-04,2.65,0.22,0.07,0.1,1.08,0.06,0.18,1.04,0.17,4.29,2.67,0.42,0.12,0.09,0.04,0.36,0.12,0.08,0.57,1.06,0.03,0.19,0.31,0.03,0.05,,0.06,0.96,0.08,3.71,2.87,3.63,2.13,1.68 +2030,US-NC,2024-07-05,2.81,0.23,0.07,0.1,1.13,0.1,0.2,1.05,0.18,4.39,2.69,0.61,0.12,0.07,0.03,0.4,0.15,0.08,0.69,1.38,0.04,0.18,0.3,0.04,0.06,0.03,0.06,0.97,0.1,4.03,3.19,3.78,2.17,1.81 +2031,US-NC,2024-07-06,2.77,0.23,0.07,0.09,1.14,0.07,0.18,1.04,0.18,4.5,2.69,0.6,0.11,0.06,0.05,0.37,0.15,0.08,0.57,1.11,0.03,0.17,0.3,0.04,0.03,0.03,0.05,1.04,0.08,3.61,3.03,4.35,2.13,1.82 +2032,US-NC,2024-07-07,2.86,0.25,0.09,0.1,1.12,0.1,0.22,1.09,0.14,4.65,2.71,0.4,0.12,0.1,0.05,0.4,0.16,0.09,0.61,1.16,0.03,0.18,0.29,0.04,0.04,,0.07,1.06,0.06,3.8,3.12,4.36,2.25,2.03 +2033,US-NC,2024-07-08,3.04,0.25,0.08,0.12,1.2,0.09,0.21,1.17,0.18,4.67,2.69,0.39,0.12,0.08,0.04,0.44,0.17,0.09,0.77,1.88,0.04,0.23,0.37,0.04,0.04,0.03,0.06,1.12,0.04,4.59,3.62,3.93,2.34,2.1 +2034,US-NC,2024-07-09,2.98,0.24,0.09,0.11,1.14,0.07,0.2,1.11,0.17,4.61,2.7,0.55,0.11,0.08,0.06,0.46,0.16,0.09,0.76,1.77,0.05,0.22,0.36,,0.04,,0.07,1.12,0.08,4.64,3.57,4.0,2.35,2.15 +2035,US-NC,2024-07-10,2.87,0.23,0.1,0.11,1.1,0.09,0.22,1.12,0.19,4.54,2.71,0.63,0.13,0.09,0.05,0.44,0.17,0.08,0.73,1.65,0.03,0.19,0.31,0.03,0.04,0.03,0.06,1.11,0.08,4.61,3.64,4.06,2.49,2.09 +2036,US-NC,2024-07-11,2.98,0.23,0.08,0.12,1.08,0.1,0.2,1.08,0.17,4.5,2.57,0.41,0.12,0.09,0.05,0.43,0.16,0.1,0.71,1.65,0.04,0.18,0.33,0.03,0.04,0.03,0.05,1.07,0.08,4.8,3.5,4.06,2.41,2.06 +2037,US-NC,2024-07-12,2.92,0.23,0.07,0.1,1.09,0.07,0.17,1.07,0.18,4.45,2.7,0.38,0.11,0.1,0.04,0.39,0.14,0.1,0.68,1.51,0.03,0.19,0.32,0.03,0.04,0.04,0.04,1.08,0.07,4.37,3.35,3.99,2.31,1.95 +2038,US-NC,2024-07-13,2.66,0.21,0.06,0.09,1.12,0.07,0.17,0.98,0.15,4.3,2.79,0.34,0.11,0.07,0.04,0.35,0.12,0.08,0.62,1.02,0.04,0.17,0.25,0.04,0.03,,0.05,0.99,0.08,3.5,2.94,3.84,2.08,1.78 +2039,US-NC,2024-07-14,2.63,0.22,0.07,0.09,1.1,0.08,0.18,0.97,0.15,4.28,2.62,0.52,0.12,0.08,0.05,0.36,0.14,0.09,0.56,1.03,0.03,0.15,0.27,0.03,,0.03,0.06,1.02,0.08,3.5,2.94,3.95,2.09,1.82 +2160,US-OK,2024-05-16,4.0,0.38,,0.14,1.44,0.11,0.26,1.31,0.24,5.96,2.62,0.25,0.14,,,0.53,0.18,0.17,0.99,1.76,,0.35,0.58,,,,,1.49,0.12,5.69,3.64,3.59,2.21,1.97 +2161,US-OK,2024-05-17,3.84,0.33,0.13,0.16,1.43,0.14,0.26,1.35,0.15,5.72,2.58,0.18,0.16,,,0.4,0.14,0.14,0.88,1.62,,0.33,0.46,,,,,1.51,0.08,5.17,3.48,3.6,2.31,1.97 +2162,US-OK,2024-05-18,3.85,0.36,,0.12,1.57,0.15,0.19,1.34,0.24,5.98,2.61,0.4,0.11,0.11,,0.47,0.22,0.2,0.79,1.34,,0.32,0.42,,,,,1.36,,4.71,3.21,3.67,2.14,1.95 +2163,US-OK,2024-05-19,3.78,0.36,0.12,0.14,1.54,,0.26,1.28,0.22,5.66,2.41,0.27,,0.1,,0.48,0.23,0.17,0.7,1.44,,0.24,0.43,,,,0.1,1.39,0.12,4.7,3.02,3.86,2.1,1.86 +2164,US-OK,2024-05-20,4.01,0.34,0.12,0.18,1.51,0.12,0.26,1.42,0.23,5.95,2.74,0.29,0.1,0.09,,0.49,0.18,0.2,0.99,1.76,,0.33,0.54,,,,,1.45,0.08,5.61,3.77,3.79,2.37,2.15 +2165,US-OK,2024-05-21,4.22,0.33,0.13,0.21,1.46,0.09,0.31,1.34,0.27,6.08,2.59,0.29,0.14,0.1,,0.55,0.21,0.21,0.93,1.89,,0.36,0.55,,,,0.09,1.37,0.13,6.08,3.99,4.02,2.48,2.24 +2166,US-OK,2024-05-22,4.12,0.39,0.13,0.18,1.51,0.11,0.44,1.42,0.23,6.0,2.68,0.31,0.17,0.08,,0.5,0.19,0.17,0.88,1.73,,0.35,0.48,0.1,,,,1.38,0.08,6.22,3.85,4.07,2.49,2.17 +2167,US-OK,2024-05-23,4.09,0.36,0.09,0.17,1.31,,0.26,1.23,0.28,5.77,2.66,0.25,0.12,,,0.52,0.24,0.21,0.99,1.73,,0.32,0.54,,,,,1.44,0.1,5.86,3.99,3.93,2.41,2.06 +2168,US-OK,2024-05-24,3.94,0.36,0.09,0.17,1.36,0.12,0.2,1.39,0.25,5.76,2.57,0.28,0.11,0.09,,0.45,0.17,0.14,0.94,1.72,,0.27,0.48,,,,,1.3,0.08,5.55,3.86,4.07,2.49,2.05 +2169,US-OK,2024-05-25,3.87,0.39,0.12,0.13,1.36,0.12,0.26,1.33,0.19,5.84,2.65,0.32,,0.09,,0.41,0.23,0.13,0.93,1.26,,0.28,0.57,,,,0.12,1.44,0.09,4.47,3.46,3.99,2.32,2.1 +2170,US-OK,2024-05-26,3.76,0.35,0.13,0.19,1.54,,0.23,1.36,0.17,6.01,2.59,0.33,0.15,,,0.47,0.24,0.17,0.84,1.31,,0.32,0.49,,,,,1.47,,4.64,3.49,4.24,2.23,2.08 +2171,US-OK,2024-05-27,3.95,0.36,0.1,0.17,1.4,0.15,0.24,1.34,0.24,6.09,2.81,0.4,0.16,0.11,,0.49,0.19,0.17,0.88,1.32,,0.31,0.45,,,,0.11,1.34,,4.91,3.7,4.27,2.37,2.25 +2172,US-OK,2024-05-28,4.13,0.38,,0.17,1.41,0.11,0.26,1.43,0.23,6.22,3.08,0.27,0.17,0.11,,0.53,0.28,0.14,1.0,1.77,,0.39,0.56,,,,0.1,1.56,0.09,5.6,4.27,3.98,2.53,2.49 +2173,US-OK,2024-05-29,4.23,0.34,0.11,0.27,1.5,0.17,0.23,1.43,0.24,6.08,3.03,0.28,0.1,,0.08,0.5,0.21,0.2,0.9,1.94,,0.36,0.6,,0.14,,,1.58,0.14,5.71,4.41,4.2,2.65,2.78 +2174,US-OK,2024-05-30,4.24,0.37,0.1,0.17,1.34,0.1,0.24,1.4,0.24,5.86,2.8,0.25,0.2,0.15,,0.5,0.19,0.1,0.95,1.76,,0.29,0.52,,,,0.1,1.55,0.13,5.54,4.01,4.22,2.5,2.55 +2175,US-OK,2024-05-31,4.06,0.5,0.14,0.23,1.33,0.1,0.29,1.29,0.22,5.71,2.61,0.21,0.17,0.14,,0.54,0.2,0.16,1.05,1.69,,0.31,0.51,,,,,1.41,0.1,5.26,4.13,3.96,2.45,2.27 +2176,US-OK,2024-06-01,3.8,0.38,0.12,0.15,1.42,0.1,0.2,1.27,0.23,5.71,2.61,0.31,0.17,0.11,,0.42,0.24,0.13,0.8,1.38,,0.22,0.46,,,,,1.36,,4.47,3.67,4.36,2.28,2.12 +2177,US-OK,2024-06-02,3.61,0.39,0.11,0.15,1.43,,0.24,1.23,0.19,5.77,2.88,0.23,0.23,0.15,,0.48,0.16,0.13,0.85,1.43,,0.31,0.54,,0.09,,,1.38,,4.67,3.58,4.56,2.63,2.42 +2178,US-OK,2024-06-03,3.96,0.37,0.13,0.16,1.27,0.15,0.22,1.24,0.2,5.76,2.89,0.25,0.16,,0.09,0.58,0.22,0.15,0.89,1.75,,0.32,0.55,,,,0.11,1.42,,5.6,4.19,3.92,2.45,2.49 +2179,US-OK,2024-06-04,4.3,0.26,0.11,0.17,1.16,0.14,0.21,1.22,0.2,5.56,2.79,0.23,0.14,0.12,0.1,0.49,0.25,0.15,0.91,1.76,,0.31,0.5,,,,,1.28,,5.9,4.08,4.02,2.57,2.36 +2180,US-OK,2024-06-05,3.6,0.31,,0.15,1.12,0.11,0.16,1.15,0.24,5.23,2.72,0.31,0.2,0.09,,0.55,0.22,0.15,0.88,1.82,,0.27,0.47,,,,,1.22,,6.05,3.99,3.96,2.5,2.31 +2181,US-OK,2024-06-06,3.48,0.26,0.12,0.21,1.23,0.1,0.18,1.32,0.23,5.24,3.98,0.38,0.15,0.09,,0.46,0.23,0.09,0.81,1.66,0.08,0.26,0.45,,,,,1.15,0.12,5.67,3.82,3.78,3.07,2.14 +2182,US-OK,2024-06-07,3.52,0.28,,0.15,1.19,0.09,0.19,1.1,0.2,5.07,3.13,0.39,0.13,0.12,,0.41,0.21,0.18,0.81,1.59,,0.26,0.52,,,,0.08,1.1,,5.2,3.85,3.96,4.86,2.05 +2183,US-OK,2024-06-08,3.39,0.34,,0.12,1.31,0.12,0.26,1.16,0.15,5.17,2.7,0.44,,,,0.45,0.23,0.1,0.74,1.16,,0.3,0.47,,,,,1.18,,4.56,3.49,4.09,2.77,1.91 +2184,US-OK,2024-06-09,3.42,0.32,0.11,0.17,1.26,,0.24,1.25,0.18,5.2,2.92,0.36,0.1,0.1,,0.47,0.18,0.15,0.81,1.23,,0.26,0.38,,,,0.1,1.18,0.09,4.74,3.41,4.47,4.69,2.03 +2185,US-OK,2024-06-10,3.45,0.33,0.09,0.17,1.17,,0.23,1.25,0.18,5.03,2.77,0.3,0.15,0.12,,0.53,0.2,0.18,1.0,1.7,,0.29,0.46,,,,,1.16,0.12,5.58,4.02,3.85,4.55,2.16 +2186,US-OK,2024-06-11,3.62,0.33,0.09,0.17,1.15,0.09,0.17,1.24,0.19,5.13,2.79,0.27,0.1,0.09,0.08,0.54,0.2,0.1,1.07,1.78,,0.28,0.47,,,,0.12,1.21,,5.97,4.09,3.92,2.67,2.24 +2187,US-OK,2024-06-12,3.5,0.26,0.15,0.09,1.18,0.1,0.23,1.18,0.19,5.03,2.69,0.35,0.16,0.11,,0.53,0.21,0.14,1.02,1.7,,0.24,0.45,,,,0.09,1.3,,6.15,4.0,4.05,2.69,2.24 +2188,US-OK,2024-06-13,3.39,0.22,0.09,0.16,1.22,0.1,0.19,1.25,0.2,5.04,2.8,0.43,0.09,0.08,,0.53,0.21,0.16,0.92,1.72,,0.3,0.5,,,,,1.2,,5.78,4.18,4.02,2.57,2.08 +2189,US-OK,2024-06-14,3.26,0.22,0.15,0.19,1.2,0.1,0.17,1.02,0.14,4.9,2.54,0.5,0.12,,,0.52,0.16,0.17,0.93,1.55,0.1,0.25,0.4,,,,,1.17,,5.15,4.0,3.72,2.54,2.05 +2190,US-OK,2024-06-15,3.0,0.25,0.09,0.11,1.13,,0.22,1.05,0.13,4.55,2.46,0.36,0.12,,,0.4,0.19,,0.78,1.23,,0.23,0.37,,,,,1.14,0.1,4.65,3.55,4.01,2.35,1.86 +2191,US-OK,2024-06-16,3.17,0.22,,0.11,1.11,0.1,0.21,1.11,0.17,4.95,2.65,0.45,0.1,,,0.43,0.23,0.1,0.83,1.24,,0.22,0.37,,,,0.14,1.19,0.09,4.33,3.44,3.95,2.34,1.97 +2192,US-OK,2024-06-17,3.39,0.28,0.1,0.18,1.15,0.1,0.12,1.18,0.21,4.81,2.85,0.37,0.11,,,0.54,0.19,0.1,1.03,1.74,0.09,0.26,0.46,,,,0.08,1.13,,5.7,4.17,4.0,2.67,2.25 +2193,US-OK,2024-06-18,3.37,0.3,0.1,0.19,1.11,,0.21,1.23,0.15,4.95,2.54,0.37,0.08,0.08,,0.5,0.21,0.15,1.05,1.65,,0.31,0.48,,,,,1.15,0.11,5.93,4.22,4.11,2.68,2.12 +2194,US-OK,2024-06-19,3.28,0.32,0.1,0.13,1.04,,0.23,1.14,0.2,4.8,2.81,0.26,0.13,0.09,,0.49,0.2,0.14,0.85,1.6,,0.24,0.41,,,,0.12,1.24,,5.93,4.13,4.06,2.65,2.22 +2195,US-OK,2024-06-20,3.35,0.28,0.1,0.18,1.12,0.1,0.17,1.11,0.21,4.89,2.79,0.34,0.13,0.14,,0.56,0.18,0.15,1.01,1.67,,0.25,0.43,,,,,1.15,0.09,5.99,4.4,4.0,2.68,2.1 +2196,US-OK,2024-06-21,3.24,0.23,,0.15,1.09,0.09,0.19,1.16,0.16,4.48,2.73,0.45,0.12,0.09,,0.46,0.22,0.13,0.81,1.52,,0.29,0.39,,,,,1.06,0.11,5.49,4.37,3.74,2.52,1.93 +2197,US-OK,2024-06-22,3.15,0.25,0.1,0.11,1.14,0.09,0.19,1.2,0.17,4.97,2.61,0.42,0.17,,,0.4,0.18,0.1,0.63,1.24,,0.2,0.35,,,,,1.14,,4.76,3.54,4.07,2.31,1.98 +2198,US-OK,2024-06-23,3.06,0.28,0.11,0.15,1.09,,0.2,1.18,0.17,4.94,2.83,0.73,0.15,,,0.51,0.27,0.1,0.68,1.2,,0.23,0.35,,,,0.1,1.06,0.1,4.72,3.63,4.17,2.37,2.19 +2199,US-OK,2024-06-24,3.32,0.24,,0.14,1.11,0.09,0.24,1.26,0.26,4.76,2.86,0.77,0.1,,,0.53,0.21,0.11,0.95,1.76,,0.24,0.41,,,,0.11,1.2,0.1,5.79,4.26,3.75,2.59,2.23 +2200,US-OK,2024-06-25,3.23,0.25,0.09,0.13,1.13,0.1,0.21,1.27,0.2,4.96,3.02,0.7,0.15,,0.1,0.53,0.24,0.13,0.84,1.69,,0.25,0.45,,,,,1.15,0.08,5.88,4.23,3.85,2.61,2.29 +2201,US-OK,2024-06-26,3.14,0.24,0.08,0.13,1.02,0.15,0.21,1.03,0.17,4.45,3.31,0.58,0.1,,,0.51,0.24,0.12,0.74,1.58,,0.19,0.41,,,,,1.18,,5.66,4.05,3.83,2.63,2.18 +2202,US-OK,2024-06-27,3.19,0.27,0.13,0.1,1.09,,0.18,1.08,0.23,4.64,3.21,0.44,0.11,0.11,,0.45,0.22,0.09,0.88,1.59,,0.25,0.4,,,,,1.07,0.09,5.21,4.1,3.74,2.73,2.05 +2203,US-OK,2024-06-28,3.1,0.25,,0.14,1.0,,0.18,1.04,0.17,4.42,2.84,0.5,0.12,0.12,,0.46,0.2,0.09,0.77,1.49,,0.28,0.4,,,,,0.98,,4.91,3.98,3.49,2.47,1.89 +2204,US-OK,2024-06-29,2.92,0.21,,0.11,1.07,0.1,0.22,1.0,0.17,4.45,2.66,0.63,,0.1,,0.4,0.15,0.12,0.77,1.18,,0.22,0.33,,,,,1.03,,4.14,3.63,3.79,2.24,1.78 +2205,US-OK,2024-06-30,2.99,0.25,,0.1,1.08,,0.15,1.02,0.21,4.61,2.73,0.49,0.15,,,0.43,0.23,0.09,0.61,1.18,,0.2,0.37,,,,,1.05,,4.43,3.47,4.25,2.24,1.87 +2206,US-OK,2024-07-01,3.11,0.21,0.12,0.14,1.03,0.08,0.18,1.12,0.2,4.66,2.82,0.79,0.14,0.12,,0.47,0.26,0.15,0.81,1.64,,0.22,0.43,,,,,1.06,,5.66,4.46,3.82,2.54,2.13 +2207,US-OK,2024-07-02,3.17,0.23,0.09,0.13,1.09,0.09,0.18,1.22,0.1,4.76,3.19,0.79,0.11,,,0.51,0.22,0.1,0.85,1.65,,0.19,0.47,,,,,1.13,,5.64,4.26,3.93,2.61,2.15 +2208,US-OK,2024-07-03,3.18,0.25,,0.12,1.2,,0.2,1.21,0.14,4.71,3.15,0.75,0.12,,,0.49,0.22,0.1,0.78,1.57,,0.21,0.45,,,,,1.04,0.1,5.45,4.17,3.69,2.51,1.9 +2209,US-OK,2024-07-04,2.77,0.28,,,1.04,,0.17,0.92,0.16,4.29,2.53,0.56,0.13,,,0.39,0.2,0.1,0.68,1.08,,0.14,0.36,,,,,0.94,,4.36,3.5,3.46,2.12,1.66 +2210,US-OK,2024-07-05,2.9,0.2,,,1.1,0.1,0.18,1.04,0.21,4.45,2.45,0.33,0.13,0.12,0.09,0.44,0.2,0.1,0.78,1.41,,0.22,0.32,,0.11,,,0.95,,4.87,3.78,3.53,2.3,1.94 +2211,US-OK,2024-07-06,3.01,0.24,,0.12,1.11,,0.2,1.07,0.18,4.66,2.68,0.42,0.1,0.1,,0.43,0.24,0.14,0.66,1.1,,0.21,0.28,,,,,1.12,,4.16,3.57,4.03,2.23,1.96 +2212,US-OK,2024-07-07,3.1,0.25,,0.11,1.23,,0.19,1.09,0.15,4.86,2.91,0.33,0.16,0.15,,0.42,0.22,0.12,0.73,1.27,,0.23,0.38,,,,,1.08,,4.21,3.63,4.2,2.48,1.95 +2213,US-OK,2024-07-08,3.47,0.22,0.09,0.13,1.17,0.1,0.2,1.06,0.23,4.97,2.77,0.3,0.15,0.1,,0.49,0.23,0.15,0.84,1.65,,0.21,0.42,,,,0.12,1.23,,5.33,4.35,3.92,2.57,2.19 +2214,US-OK,2024-07-09,3.5,0.32,,0.13,1.24,,0.14,1.24,0.23,5.08,2.87,0.34,0.1,0.15,0.08,0.49,0.23,0.09,0.95,1.7,,0.28,0.43,,,,,1.2,0.09,5.46,4.16,4.25,2.57,2.35 +2215,US-OK,2024-07-10,3.41,0.26,0.09,0.16,1.27,0.1,0.18,1.21,0.17,5.07,2.88,0.47,0.14,0.1,,0.55,0.2,0.11,0.98,1.78,,0.3,0.4,,,,,1.15,,5.63,4.32,4.15,2.88,2.3 +2216,US-OK,2024-07-11,3.43,0.28,0.12,0.19,1.28,0.13,0.19,1.13,0.22,4.99,3.4,0.52,0.13,0.09,,0.53,0.23,0.12,0.99,1.56,,0.21,0.41,,,,,1.17,0.08,5.86,4.27,4.13,2.67,2.12 +2217,US-OK,2024-07-12,3.44,0.24,0.09,0.14,1.19,0.09,0.26,1.19,0.1,4.94,3.56,0.53,0.16,0.12,,0.45,0.19,0.11,0.79,1.58,,0.25,0.36,,,,,1.16,0.13,5.57,4.1,3.89,2.48,2.02 +2218,US-OK,2024-07-13,2.92,0.24,0.1,0.14,1.19,,0.18,1.07,0.17,4.73,3.46,0.46,0.14,0.11,,0.45,0.2,0.09,0.61,1.18,,0.15,0.27,,,,,1.05,0.1,4.06,3.54,3.95,2.27,1.79 +2219,US-OK,2024-07-14,3.01,0.31,0.11,0.12,1.14,,0.28,1.01,0.16,4.81,2.84,0.53,0.13,0.1,,0.43,0.28,0.11,0.75,1.2,,0.22,0.39,,,,,1.08,0.09,4.03,3.56,3.97,2.29,1.94 +2220,US-OR,2024-05-16,4.08,0.28,0.05,0.1,1.07,0.06,0.21,1.03,0.23,4.8,1.98,0.19,0.06,0.05,0.08,0.34,0.11,0.13,0.75,1.47,,0.27,0.38,,0.05,,0.07,1.17,0.1,3.78,2.09,2.74,1.41,1.5 +2221,US-OR,2024-05-17,3.47,0.26,0.05,0.11,1.07,0.09,0.21,0.99,0.23,4.54,1.87,0.16,0.09,0.06,0.05,0.33,0.15,0.12,0.72,1.25,,0.29,0.39,,,,0.09,1.14,0.08,3.48,1.94,2.56,1.41,1.46 +2222,US-OR,2024-05-18,3.35,0.3,0.07,0.09,1.21,0.09,0.23,0.98,0.2,5.11,1.78,0.17,0.1,0.09,0.05,0.31,0.13,0.15,0.63,1.05,,0.27,0.4,,,,0.06,1.14,0.08,3.34,1.91,2.75,1.4,1.37 +2223,US-OR,2024-05-19,3.31,0.31,0.09,0.1,1.18,0.1,0.21,1.13,0.19,4.95,1.89,0.14,0.09,0.08,0.06,0.33,0.14,0.15,0.71,1.12,,0.28,0.39,0.05,,,0.06,1.17,0.07,3.27,1.86,2.95,1.53,1.54 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+3027,US-WY,2024-06-12,2.75,,,,0.96,,,1.27,,4.23,2.29,0.8,,,,,,,1.03,1.87,,,,,,,,0.99,,4.66,2.96,2.9,1.99,2.1 +3028,US-WY,2024-06-13,2.87,,,,1.2,,,1.13,,4.57,2.01,,,,,,,,0.79,1.68,,,0.55,,,,,0.92,,4.31,2.62,2.87,1.51,1.82 +3029,US-WY,2024-06-14,2.24,,,,1.09,,,1.1,,3.9,2.27,,,,,,,,0.64,2.33,,,,,,,,1.19,,3.63,2.9,2.85,1.72,1.75 +3030,US-WY,2024-06-15,2.79,,,,,,,0.9,,3.79,2.17,,,,,,,,1.07,1.05,,,,,,,,0.67,,4.03,2.47,2.85,2.18,1.5 +3031,US-WY,2024-06-16,2.63,,,,0.84,,,1.09,,4.16,1.99,,,,,,,,0.71,1.37,,,,,,,,0.91,,4.15,2.09,3.16,2.03,1.84 +3032,US-WY,2024-06-17,3.0,,,,1.06,,,1.13,,4.53,1.88,,,,,0.6,,,0.49,1.93,,,,,,,,0.94,,4.2,2.95,2.88,1.83,1.81 +3033,US-WY,2024-06-18,2.28,,,,0.99,,,1.4,,4.09,1.99,,,,,0.57,,,0.81,1.97,,,,,,,,0.86,,4.71,3.18,2.96,1.41,1.26 +3034,US-WY,2024-06-19,2.81,,,,1.09,,,1.12,,4.53,2.14,0.6,,,,,,,0.71,1.59,,,,,,,,1.14,,4.43,2.71,2.79,1.74,1.79 +3035,US-WY,2024-06-20,2.87,,,,1.09,,,1.35,,4.36,2.17,,,,,,,,,1.17,,,,,,,,0.96,,4.0,3.0,3.42,1.6,1.62 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+3054,US-WY,2024-07-09,2.09,,,,0.85,,,1.6,,3.48,2.72,0.6,,,,,,,0.73,1.45,,,0.5,,,,,1.35,,4.22,2.8,3.38,1.65,1.58 +3055,US-WY,2024-07-10,2.48,,,,0.95,,,0.96,,4.48,2.46,,,,,,,,0.71,1.38,,,,,,,,0.79,,3.91,2.62,3.0,1.44,1.53 +3056,US-WY,2024-07-11,2.12,,,,1.0,,,1.06,,4.35,2.86,0.96,,,,,,,0.83,1.3,,,,,,,,0.94,,4.42,2.5,3.59,1.42,1.74 +3057,US-WY,2024-07-12,2.3,,,,1.1,,,0.88,,3.89,2.52,0.9,,,,,,,0.77,1.37,,,,,,,,0.95,,3.96,2.65,2.94,1.82,1.65 +3058,US-WY,2024-07-13,2.29,,,,1.17,,,0.67,,3.69,2.21,0.63,0.57,,,,,,,0.91,,,,,,,,0.84,,2.91,2.55,2.74,1.44,1.37 +3059,US-WY,2024-07-14,2.19,,,,0.75,,,0.9,,3.26,2.21,0.75,,,,0.76,,,,1.13,,,,,,,,1.04,,3.42,2.41,2.63,1.48,1.6 diff --git a/google_symptoms/tests/test_date_utils.py b/google_symptoms/tests/test_date_utils.py new file mode 100644 index 000000000..3d358c1e6 --- /dev/null +++ b/google_symptoms/tests/test_date_utils.py @@ -0,0 +1,116 @@ +from datetime import datetime, date, timedelta + +import pandas as pd +from freezegun import freeze_time +from conftest import TEST_DIR, NEW_DATE + +import covidcast + +from delphi_utils.validator.utils import lag_converter +from delphi_google_symptoms.constants import FULL_BKFILL_START_DATE +from delphi_google_symptoms.date_utils import generate_query_dates, generate_num_export_days, generate_patch_dates + + +class TestDateUtils: + + @freeze_time("2021-01-05") + def test_generate_query_dates(self): + output = generate_query_dates( + datetime.strptime("20201230", "%Y%m%d"), + datetime.combine(date.today(), datetime.min.time()), + 14, + False + ) + + expected = [datetime(2020, 12, 16), + datetime(2021, 1, 5)] + assert set(output) == set(expected) + + @freeze_time("2021-01-05") + def test_generate_query_dates_custom(self): + output = generate_query_dates( + datetime.strptime("20200201", "%Y%m%d"), + datetime.combine(date.today(), datetime.min.time()), + 14, + True + ) + + expected = [datetime(2020, 1, 26), + datetime(2021, 1, 5)] + assert set(output) == set(expected) + + def test_generate_export_dates(self, params, logger, monkeypatch): + metadata_df = pd.read_csv(f"{TEST_DIR}/test_data/covid_metadata.csv") + monkeypatch.setattr(covidcast, "metadata", lambda: metadata_df) + + num_export_days = generate_num_export_days(params, logger) + expected_num_export_days = params["indicator"]["num_export_days"] + assert num_export_days == expected_num_export_days + + def test_generate_export_dates_normal(self, params_w_no_date, logger, monkeypatch): + metadata_df = pd.read_csv(f"{TEST_DIR}/test_data/covid_metadata.csv") + monkeypatch.setattr(covidcast, "metadata", lambda: metadata_df) + + num_export_days = generate_num_export_days(params_w_no_date, logger) + + max_expected_lag = lag_converter(params_w_no_date["validation"]["common"]["max_expected_lag"]) + global_max_expected_lag = max(list(max_expected_lag.values())) + expected_num_export_days = params_w_no_date["validation"]["common"]["span_length"] + global_max_expected_lag + + assert num_export_days == expected_num_export_days + + def test_generate_export_date_missing(self, params_w_no_date, logger, monkeypatch): + metadata_df = pd.read_csv(f"{TEST_DIR}/test_data/covid_metadata_missing.csv") + monkeypatch.setattr(covidcast, "metadata", lambda: metadata_df) + + num_export_days = generate_num_export_days(params_w_no_date, logger) + expected_num_export_days = (date.today() - FULL_BKFILL_START_DATE.date()).days + 1 + assert num_export_days == expected_num_export_days + + def generate_expected_start_end_dates(self, params_, issue_date): + # Actual dates reported on issue dates June 27-29, 2024, by the old + # version of the google-symptoms indicator + # (https://github.com/cmu-delphi/covidcast-indicators/tree/b338a0962bf3a63f70a83f0b719516f914b098e2). + # The patch module should be able to recreate these dates. + dates_dict = { + "2024-06-27": [ '2024-06-02', '2024-06-03', '2024-06-04', '2024-06-05', '2024-06-06', '2024-06-07', '2024-06-08', '2024-06-09', '2024-06-10', '2024-06-11', '2024-06-12', '2024-06-13', '2024-06-14', '2024-06-15', '2024-06-16', '2024-06-17', '2024-06-18', '2024-06-19', '2024-06-20', '2024-06-21', '2024-06-22'], + "2024-06-28": ['2024-06-03', '2024-06-04', '2024-06-05', '2024-06-06', '2024-06-07', '2024-06-08', '2024-06-09', '2024-06-10', '2024-06-11', '2024-06-12', '2024-06-13', '2024-06-14', '2024-06-15', '2024-06-16', '2024-06-17', '2024-06-18', '2024-06-19', '2024-06-20', '2024-06-21', '2024-06-22', '2024-06-23'], + "2024-06-29": ['2024-06-04', '2024-06-05', '2024-06-06','2024-06-07', '2024-06-08', '2024-06-09', '2024-06-10', '2024-06-11', '2024-06-12', '2024-06-13', '2024-06-14', '2024-06-15', '2024-06-16', '2024-06-17', '2024-06-18', '2024-06-19', '2024-06-20', '2024-06-21', '2024-06-22', '2024-06-23', '2024-06-24'], + } + + dates_dict = { + datetime.strptime(key, "%Y-%m-%d"): [ + datetime.strptime(listvalue, "%Y-%m-%d") for listvalue in value + ] for key, value in dates_dict.items() + } + + dates = dates_dict[issue_date] + + # Raw signals add 6 extra dates of padding for later calculating + # smoothed signals. Since this test is checking an early step in the + # process, before padding has happened, we can drop the first 6 + # dates. + return { + "export_start_date": min(dates[6:21]), + "export_end_date": max(dates[6:21]) + } + + def test_generate_patch_dates(self, params_w_patch, logger): + max_expected_lag = lag_converter(params_w_patch["validation"]["common"]["max_expected_lag"]) + global_max_expected_lag = max(list(max_expected_lag.values())) + num_export_days = params_w_patch["validation"]["common"]["span_length"] + + issue_date = datetime.strptime(params_w_patch["patch"]["start_issue"], "%Y-%m-%d") + end_issue = datetime.strptime(params_w_patch["patch"]["end_issue"], "%Y-%m-%d") + + patch_date_dict = generate_patch_dates(params_w_patch) + + while issue_date <= end_issue: + # in the patch script the date generated by generate_patch_dates becomes the export_start_date and export_end_date + patch_settings = patch_date_dict[issue_date] + expected_dict = self.generate_expected_start_end_dates(params_w_patch, issue_date) + expected_dict["num_export_days"] = num_export_days # unmodified + + assert patch_settings == expected_dict + + issue_date += timedelta(days=1) diff --git a/google_symptoms/tests/test_patch.py b/google_symptoms/tests/test_patch.py new file mode 100644 index 000000000..6b60db9a5 --- /dev/null +++ b/google_symptoms/tests/test_patch.py @@ -0,0 +1,97 @@ +from datetime import datetime, timedelta +import unittest + +import pandas as pd +from mock import patch as mock_patch +from pathlib import Path +import re +import shutil +from typing import List, Tuple + +from delphi_google_symptoms.patch import patch +from delphi_utils.validator.utils import lag_converter + +from delphi_google_symptoms.constants import SMOOTHERS_MAP, FULL_BKFILL_START_DATE +from delphi_google_symptoms.date_utils import generate_query_dates + +from conftest import state_data_gap, covidcast_metadata, TEST_DIR + + +class TestPatchModule: + + def parse_csv_file(self, file_list: List[str]) -> Tuple[List[datetime]]: + smoothed_list = list(set([datetime.strptime(f.name.split('_')[0],"%Y%m%d") for f in file_list if "smoothed" in f.name])) + raw_list = list(set([datetime.strptime(f.name.split('_')[0],"%Y%m%d") for f in file_list if "raw" in f.name])) + return sorted(smoothed_list), sorted(raw_list) + + def generate_expected_dates(self, params_, smoother, issue_date): + # Actual dates reported on issue dates June 27-29, 2024, by the old + # version of the google-symptoms indicator + # (https://github.com/cmu-delphi/covidcast-indicators/tree/b338a0962bf3a63f70a83f0b719516f914b098e2). + # The patch module should be able to recreate these dates. + dates_dict = { + "2024-06-27": [ '2024-06-02', '2024-06-03', '2024-06-04', '2024-06-05', '2024-06-06', '2024-06-07', '2024-06-08', '2024-06-09', '2024-06-10', '2024-06-11', '2024-06-12', '2024-06-13', '2024-06-14', '2024-06-15', '2024-06-16', '2024-06-17', '2024-06-18', '2024-06-19', '2024-06-20', '2024-06-21', '2024-06-22'], + "2024-06-28": ['2024-06-03', '2024-06-04', '2024-06-05', '2024-06-06', '2024-06-07', '2024-06-08', '2024-06-09', '2024-06-10', '2024-06-11', '2024-06-12', '2024-06-13', '2024-06-14', '2024-06-15', '2024-06-16', '2024-06-17', '2024-06-18', '2024-06-19', '2024-06-20', '2024-06-21', '2024-06-22', '2024-06-23'], + "2024-06-29": ['2024-06-04', '2024-06-05', '2024-06-06','2024-06-07', '2024-06-08', '2024-06-09', '2024-06-10', '2024-06-11', '2024-06-12', '2024-06-13', '2024-06-14', '2024-06-15', '2024-06-16', '2024-06-17', '2024-06-18', '2024-06-19', '2024-06-20', '2024-06-21', '2024-06-22', '2024-06-23', '2024-06-24'], + } + + dates_dict = { + datetime.strptime(key, "%Y-%m-%d"): [ + datetime.strptime(listvalue, "%Y-%m-%d") for listvalue in value + ] for key, value in dates_dict.items() + } + + dates = dates_dict[issue_date] + + if smoother == "raw": + return dates + else: + # Smoothed signals drop the first 6 dates. + return dates[6:21] + + def mocked_patch(self, params_): + with mock_patch("delphi_google_symptoms.patch.read_params", return_value=params_), \ + mock_patch("delphi_google_symptoms.pull.pandas_gbq.read_gbq") as mock_read_gbq, \ + mock_patch("delphi_google_symptoms.pull.initialize_credentials", return_value=None), \ + mock_patch("delphi_google_symptoms.date_utils.covidcast.metadata", return_value=covidcast_metadata), \ + mock_patch("delphi_google_symptoms.run.GEO_RESOLUTIONS", new=["state"]): + def side_effect(*args, **kwargs): + if "symptom_search_sub_region_1_daily" in args[0]: + df = state_data_gap + pattern = re.compile(r'\d{4}-\d{2}-\d{2}') + start_date, end_date = re.findall(pattern, args[0]) + return df[(df["date"] >= start_date) & (df["date"] <= end_date)] + else: + return pd.DataFrame() + + mock_read_gbq.side_effect = side_effect + start_date = datetime.strptime(params_["patch"]["start_issue"], "%Y-%m-%d") + + patch(params_) + + patch_path = Path(f"{TEST_DIR}/{params_['patch']['patch_dir']}") + + for issue_dir in sorted(list(patch_path.iterdir())): + assert f'issue_{datetime.strftime(start_date, "%Y%m%d")}' == issue_dir.name + + smoothed_dates, raw_dates = self.parse_csv_file(list(Path(issue_dir, "google-symptom").glob("*.csv"))) + expected_smoothed_dates = self.generate_expected_dates(params_, "smoothed", start_date) + expected_raw_dates = self.generate_expected_dates(params_, "raw", start_date) + + assert smoothed_dates == expected_smoothed_dates + assert raw_dates == expected_raw_dates + + shutil.rmtree(issue_dir) + + start_date += timedelta(days=1) + + def test_patch_default(self, params_w_patch): + params_w_patch["indicator"]["num_export_days"] = None + self.mocked_patch(params_w_patch) + + def test_patch_date_set(self, params_w_patch): + self.mocked_patch(params_w_patch) + + +if __name__ == '__main__': + unittest.main() \ No newline at end of file diff --git a/google_symptoms/tests/test_pull.py b/google_symptoms/tests/test_pull.py index 94c755664..16792ab16 100644 --- a/google_symptoms/tests/test_pull.py +++ b/google_symptoms/tests/test_pull.py @@ -1,23 +1,23 @@ import pytest import mock -import db_dtypes from freezegun import freeze_time from datetime import date, datetime import pandas as pd from pandas.testing import assert_frame_equal from delphi_google_symptoms.pull import ( - pull_gs_data, preprocess, format_dates_for_query, pull_gs_data_one_geolevel, get_date_range) + pull_gs_data, preprocess, format_dates_for_query, pull_gs_data_one_geolevel) from delphi_google_symptoms.constants import METRICS, COMBINED_METRIC +from conftest import TEST_DIR good_input = { - "state": "test_data/small_states_daily.csv", - "county": "test_data/small_counties_daily.csv" + "state": f"{TEST_DIR}/test_data/small_states_daily.csv", + "county": f"{TEST_DIR}/test_data/small_counties_daily.csv" } bad_input = { - "missing_cols": "test_data/bad_state_missing_cols.csv", - "invalid_fips": "test_data/bad_county_invalid_fips.csv" + "missing_cols": f"{TEST_DIR}/test_data/bad_state_missing_cols.csv", + "invalid_fips": f"{TEST_DIR}/test_data/bad_county_invalid_fips.csv" } symptom_names = ["symptom_" + @@ -41,8 +41,12 @@ def test_good_file(self, mock_credentials, mock_read_gbq): mock_read_gbq.side_effect = [state_data, county_data] mock_credentials.return_value = None + start_date = datetime.strptime( + "20201230", "%Y%m%d") + end_date = datetime.combine(date.today(), datetime.min.time()) + dfs = pull_gs_data("", datetime.strptime( - "20201230", "%Y%m%d"), datetime.combine(date.today(), datetime.min.time()), 0) + "20201230", "%Y%m%d"), datetime.combine(date.today(), datetime.min.time()), 0, False) for level in ["county", "state"]: df = dfs[level] @@ -102,32 +106,6 @@ def test_no_rows_nulled(self): out = preprocess(df, "state") assert df.shape[0] == out[~out.Cough.isna()].shape[0] - -class TestPullHelperFuncs: - @freeze_time("2021-01-05") - def test_get_date_range_recent_export_start_date(self): - output = get_date_range( - datetime.strptime("20201230", "%Y%m%d"), - datetime.combine(date.today(), datetime.min.time()), - 14 - ) - - expected = [datetime(2020, 12, 24), - datetime(2021, 1, 5)] - assert set(output) == set(expected) - - @freeze_time("2021-01-05") - def test_get_date_range(self): - output = get_date_range( - datetime.strptime("20200201", "%Y%m%d"), - datetime.combine(date.today(), datetime.min.time()), - 14 - ) - - expected = [datetime(2020, 12, 16), - datetime(2021, 1, 5)] - assert set(output) == set(expected) - def test_format_dates_for_query(self): date_list = [datetime(2016, 12, 30), datetime(2021, 1, 5)] output = format_dates_for_query(date_list) diff --git a/google_symptoms/tests/test_run.py b/google_symptoms/tests/test_run.py index 9ba356ed3..baf9d6690 100644 --- a/google_symptoms/tests/test_run.py +++ b/google_symptoms/tests/test_run.py @@ -1,15 +1,20 @@ +import logging from os import listdir from os.path import join from itertools import product import pandas as pd +import numpy as np - +from conftest import TEST_DIR class TestRun: def test_output_files_exist(self, run_as_module): - csv_files = listdir("receiving") + output_files = listdir(f"{TEST_DIR}/receiving") + smoothed_files = sorted(list(set([file for file in output_files if "smoothed" in file]))) + raw_files = sorted(list(set([file for file in output_files if "raw" in file]))) + csv_files = {"raw": raw_files, "smoothed": smoothed_files} - dates = [ + expected_smoothed_dates = [ "20200801", "20200802", "20200803", @@ -22,26 +27,63 @@ def test_output_files_exist(self, run_as_module): "20200810", "20200811" ] + expected_raw_dates = [ + '20200726', + '20200727', + '20200728', + '20200729', + '20200730', + '20200731', + ] + expected_smoothed_dates + + dates = { + "raw": expected_raw_dates, + "smoothed": expected_smoothed_dates, + } + geos = ["county", "state", "hhs", "nation"] metrics = ["s01", "s02", "s03", - #"s04", + # "s04", "s04", "s05", - #"s07", + # "s07", "s06", - #"s09", "s10", + # "s09", "s10", "scontrol"] smoother = ["raw", "smoothed"] - expected_files = [] - for date, geo, metric, smoother in product(dates, geos, metrics, smoother): - nf = "_".join([date, geo, metric, smoother, "research"]) + ".csv" - expected_files.append(nf) + for smther in smoother: + expected_files = [] - set(csv_files) == set(expected_files) + for date, geo, metric in product(dates[smther], geos, metrics): + nf = "_".join([date, geo, metric, smther, "search"]) + ".csv" + expected_files.append(nf) + logging.info(csv_files[smther]) + assert set(csv_files[smther]).issuperset(set(expected_files)) def test_output_file_format(self, run_as_module): df = pd.read_csv( - join("receiving", "20200810_state_s03_smoothed_search.csv") + join(f"{TEST_DIR}/receiving", "20200810_state_s03_smoothed_search.csv") ) assert (df.columns.values == [ "geo_id", "val", "se", "sample_size"]).all() + + def test_output_files_smoothed(self, run_as_module): + dates = [str(x) for x in range(20200804, 20200811)] + + smoothed = pd.read_csv( + join(f"{TEST_DIR}/receiving", + f"{dates[-1]}_state_s01_smoothed_search.csv") + ) + + raw = pd.concat([ + pd.read_csv( + join(f"{TEST_DIR}/receiving", + f"{date}_state_s01_raw_search.csv") + ) for date in dates + ]) + + raw = raw.groupby('geo_id')['val'].sum()/7.0 + df = pd.merge(smoothed, raw, on='geo_id', + suffixes=('_smoothed', '_raw')) + + assert np.allclose(df['val_smoothed'].values, df['val_raw'].values) diff --git a/google_symptoms/tests/test_smooth.py b/google_symptoms/tests/test_smooth.py deleted file mode 100644 index 3c2b92464..000000000 --- a/google_symptoms/tests/test_smooth.py +++ /dev/null @@ -1,27 +0,0 @@ -from os.path import join - -import numpy as np -import pandas as pd - - -class TestSmooth: - def test_output_files_smoothed(self, run_as_module): - dates = [str(x) for x in range(20200804, 20200811)] - - smoothed = pd.read_csv( - join("receiving", - f"{dates[-1]}_state_s01_smoothed_search.csv") - ) - - raw = pd.concat([ - pd.read_csv( - join("receiving", - f"{date}_state_s01_raw_search.csv") - ) for date in dates - ]) - - raw = raw.groupby('geo_id')['val'].sum()/7.0 - df = pd.merge(smoothed, raw, on='geo_id', - suffixes=('_smoothed', '_raw')) - - assert np.allclose(df['val_smoothed'].values, df['val_raw'].values)