DOC: fix typos in User Guide (#58801)

* DOC: Fix typo in merging.rst

- fix typo in the User Guide

* DOC: Fix typo in timeseries.rst

* DOC: Fix typo in style.ipynb

Author: ananiavito

Diff for: doc/source/user_guide/style.ipynb

@@ -211,7 +211,7 @@
    "source": [
     "## Styler Object and HTML \n",
     "\n",
-    "The [Styler][styler] was originally constructed to support the wide array of HTML formatting options. Its HTML output creates an HTML `<table>` and leverages CSS styling language to manipulate many parameters including colors, fonts, borders, background, etc. See [here][w3schools] for more information on styling HTML tables. This allows a lot of flexibility out of the box, and even enables web developers to integrate DataFrames into their exiting user interface designs.\n",
+    "The [Styler][styler] was originally constructed to support the wide array of HTML formatting options. Its HTML output creates an HTML `<table>` and leverages CSS styling language to manipulate many parameters including colors, fonts, borders, background, etc. See [here][w3schools] for more information on styling HTML tables. This allows a lot of flexibility out of the box, and even enables web developers to integrate DataFrames into their existing user interface designs.\n",
     "\n",
     "Below we demonstrate the default output, which looks very similar to the standard DataFrame HTML representation. But the HTML here has already attached some CSS classes to each cell, even if we haven't yet created any styles. We can view these by calling the  [.to_html()][tohtml] method, which returns the raw HTML as string, which is useful for further processing or adding to a file - read on in [More about CSS and HTML](#More-About-CSS-and-HTML). This section will also provide a walkthrough for how to convert this default output to represent a DataFrame output that is more communicative. For example how we can build `s`:\n",
     "\n",

Diff for: doc/source/user_guide/timeseries.rst

@@ -326,7 +326,7 @@ which can be specified. These are computed from the starting point specified by
 .. note::
 
    The ``unit`` parameter does not use the same strings as the ``format`` parameter
-   that was discussed :ref:`above<timeseries.converting.format>`). The
+   that was discussed :ref:`above<timeseries.converting.format>`. The
    available units are listed on the documentation for :func:`pandas.to_datetime`.
 
 Constructing a :class:`Timestamp` or :class:`DatetimeIndex` with an epoch timestamp