README LE

Author: KateFinegan

data-analysis/README.md

@@ -1,17 +1,15 @@
 # Using Python for Data Analysis
 
-This folder contains completed notebooks and other files used in the Real Python tutorial on [Using Python for Data Analysis](https://realpython.com/using-python-for-data-analysis/). 
+This folder contains completed notebooks and other files used in the Real Python tutorial on [Using Python for Data Analysis](https://realpython.com/python-for-data-analysis/). 
 
-None of the files are mandatory to complete the tutorial, however, you may find them of use for reference during the tutorial.
+**The following files are included:**
 
-## Available Files:
+- `data_analysis_findings.ipynb` is a Jupyter Notebook containing all the code used in the tutorial.
+- `data_analysis_results.ipynb` is a Jupyter Notebook containing the final version of the cleansing and analysis code.
+- `james_bond_data.csv` contains the data to be cleansed and analyzed in its original form, in CSV format.
+- `james_bond_data.json` contains the data to be cleansed and analyzed in its original form, in JSON format.
+- `james_bond_data.parquet` contains the data to be cleansed and analyzed in its original form, in parquet format.
+- `james_bond_data.xlsx` contains the data to be cleansed and analyzed in its original form, in Microsoft Excel format.
+- `james_bond_data_cleansed.csv` contains the cleansed data in its final form.
 
-`data_analysis_findings.ipynb` is a Jupyter Notebook containing all the code used in the tutorial.
-`data_analysis_results.ipynb` is a Jupyter Notebook containing the final version of the cleansing and analysis code.
-`james_bond_data.csv` contains the data to be cleansed and analyzed in its original form, in CSV format.
-`james_bond_data.json` contains the data to be cleansed and analyzed in its original form, in JSON format.
-`james_bond_data.parquet` contains the data to be cleansed and analyzed in its original form, in parquet format.
-`james_bond_data.xlsx` contains the data to be cleansed and analyzed in its original form, in Microsoft Excel format.
-`james_bond_data_cleansed.csv` contains the cleansed data in its final form.
-
-## Although the tutorial can be completed in a range of Python environments, the use of Jupyter Notebook within JupyterLab is highly recommended.
+Note that although you can complete the tutorial in various Python environments, using Jupyter Notebook within JupyterLab is highly recommended.