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About Lab Manual: 18CS3262S Data Modelling and Visualization Techniques
Here are the steps to visualize semi-structured data in Python: 1. Read the JSON data and convert it to a Pandas DataFrame. For the student data: - Import JSON and Pandas libraries - Load the student JSON data - Use pd.json_normalize() to convert the JSON to a DataFrame 2. Visualize the student DataFrame: - Use a count plot to show the difference in FuturePreferences - Create a facet grid to visualize student statistics by Department - Generate a pie chart to show the distribution of GPAs 3. For the world population JSON data: - Read the file into a Pandas DataFrame using orient="columns" - Plot the population data using an appropriate graph type (
Detailed Information
| Author: | ['Sri Vallabha Sharma'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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