1. Reading and Loading the Data

Very Very Easy Assignments ---------------------- 10 min.

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Click below and get the link for HTML data

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  1. Load JSON data and store it into a dataframe.

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  1. Load CSV data and store it into a dataframe.

Solution

Note: To load Excel file: pip install openpyxl

  1. Load Excel data and store in a dataframe

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  1. Load data from HTML.

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  1. Load Data from clipboard( Copy top 30 rows from tips file.)

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Easy Assignments -------------------------- 15 mins

  1. Load the data of sheet 3 only from the above excel file.

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  1. Load the data of sheet 4 only from the above excel file but it has 2 unused rows at the top.

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  1. Load the data from the above CSV file with the separater '-'.

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  1. Load the data from the html link. 1. Check the number of tables present on that page. 2. Print the sixth table.

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  1. Load the data from tips file.

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Hard Assignments ------------------------------- 30 mins

  1. Create a dictionary from user input where the keys are name, age, city and convert that dictionary into a data frame.

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  1. Create a dictionary from user input where the keys are product, price, quantity and convert that dictionary into a data frame.

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  1. Create a dictionary from user input where the keys are name, age, city, state (3 entries) and convert that dictionary into a data frame.

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  1. Create a dictionary from user input where the keys are the employee's ID, name, salary, and department (5 entries) and convert that dictionary into a data frame.

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  1. Create a JSON structure that takes input from user and store product id,name, price, and qty for 3 products and converts it into a data frame.

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