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Fix a couple of typos #12

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Fix a couple of typos #12

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4 changes: 2 additions & 2 deletions readme.md
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Expand Up @@ -15,7 +15,7 @@ In order to use this tool, you would need to have *either*:
* ArcGIS Desktop, ArcGIS Server or ArcGIS Pro installed (for `arcpy` package). You will be able to run the tool with ArcGIS Desktop/Server Python 2.7 as well as ArcGIS Pro Python 3.5+.
* GDAL (for `ogr` package). This means you will be able to run the tool without having any Esri software installed. However, only file geodatabases are supported for reporting with GDAL.

The code written is a valid Python 2 as well as Python 3 code, so using the tool in both environments is supported. You will need `pandas` and `beatifulSoup` Python packages which can be installed from `pip` if you are ArcGIS Desktop/Server user or using `conda` if you are ArcGIS Pro or Anaconda user. See [Installing Packages](https://packaging.python.org/tutorials/installing-packages/) in the Python documentation (for ArcGIS Desktop users) and [Install a package](https://conda.io/docs/using/pkgs.html#install-a-package) in the Conda documentation (for ArcGIS Pro and Anaconda users) to get help.
The code written is a valid Python 2 as well as Python 3 code, so using the tool in both environments is supported. You will need `pandas` and `beautifulSoup` Python packages which can be installed from `pip` if you are ArcGIS Desktop/Server user or using `conda` if you are ArcGIS Pro or Anaconda user. See [Installing Packages](https://packaging.python.org/tutorials/installing-packages/) in the Python documentation (for ArcGIS Desktop users) and [Install a package](https://conda.io/docs/using/pkgs.html#install-a-package) in the Conda documentation (for ArcGIS Pro and Anaconda users) to get help.

If the package is able to import `arcpy`, then it will use `arcpy` because it provides a more complete view into your geodatabase. The most time is spent in `arcpy` describe and listing functions iterating the datasets and pulling all the relevant information.

Expand Down Expand Up @@ -93,7 +93,7 @@ registrant.domains2html()

### Architecture

This tool uses `arcpy` package (and if you don't have any ArcGIS software installed - `ogr` package) to read properties of geodatabase into Python dictionaries which are used then to construct `pandas` data frames. The data frames are exported into HTML tables (as large strings) using built-in [`pandas.DataFrame.to_html`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_html.html) method. To merge all the HTML tables into a single page, `beatifulSoup` package is used. The HTML report page is built using the [Bootstrap 3 Dashboard sample](http://getbootstrap.com/examples/dashboard/#). Some extra functionality is added with the help of [Bootstrap 3 DataTables](https://datatables.net/examples/styling/bootstrap.html) extension. Additional navigation items in the table of contents are added to the HTML page on-the-fly while reading geodatabase tables and feature classes.
This tool uses `arcpy` package (and if you don't have any ArcGIS software installed - `ogr` package) to read properties of geodatabase into Python dictionaries which are used then to construct `pandas` data frames. The data frames are exported into HTML tables (as large strings) using built-in [`pandas.DataFrame.to_html`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_html.html) method. To merge all the HTML tables into a single page, `beautifulSoup` package is used. The HTML report page is built using the [Bootstrap 3 Dashboard sample](http://getbootstrap.com/examples/dashboard/#). Some extra functionality is added with the help of [Bootstrap 3 DataTables](https://datatables.net/examples/styling/bootstrap.html) extension. Additional navigation items in the table of contents are added to the HTML page on-the-fly while reading geodatabase tables and feature classes.

### FAQ

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