Question: 5 . You have created a CSV file in # 4 above. Now, import data back to Pandas DataFrame from Excel file using Pandas read

5. You have created a CSV file in #4 above. Now, import data back to Pandas DataFrame from Excel file using Pandas read_excel() function and adding the index_col as a parameter. Show the code and display first few rows.
6. You have created an instance of Pandas DataFrame in #1 above. Now, save your Pandas DataFrame to a JSON file with .to_json() function. Show the code. Verify the data.json file created on your C drive! Show the screenshot of the file and a few rows.
7. You have created a JSON file in #6 above. Now, import data back to Pandas DataFrame from the JSON file using Pandas read_json() function. Show the code and display first few rows.
8. You have created an instance of Pandas DataFrame in #1 above. Now, save your Pandas DataFrame to an HTML file with .to_html() function. For this, you need to install lxml html5lib packages [shell: $ conda install lxml html5lib]. Show the code. Verify the data.html file created on your C drive! Show the screenshot and display first few rows.

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