Corona Based Analysis on .csv File using Pandas, Matplotlib
This project involves the analysis of COVID-19 data for India from a CaseStudy11.csv file using Pandas and Matplotlib. The analysis includes data processing, visualization, and insights extraction related to the pandemic.
This project was undertaken during the 5th semester as part of the Python inetrnship conducted by JFORK TECHNOLOGY SERVICES PRIVATE LIMITED.
This project is a collaborative effort with JFORK TECHNOLOGY SERVICES PRIVATE LIMITED.
This project was done by the following people:
- internships.py:
- Python program containing the code for data analysis.
- CaseStudy-11.csv:
- Input data file containing COVID-19 related information.
Special thanks to Shrinivas Mangalwede Sir for the guidance and support throughout the project at JFORK TECHNOLOGY SERVICES PRIVATE LIMITED.
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Clone the Repository:
git clone https://github.com/SwapnadeepK/Python_jFork_Belgaum.git cd corona-analysis
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Install Dependencies:
pip install pandas pip install matplotlib
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Open and Run the Python program:
python internships.py
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Explore and Analyze:
- The following problem statements were given:
- Get the first 6 rows.
- Check the columns contained in the dataset.
- Check the shape of the dataframe.
- Check if the dataframe has any null values.
- List the last 6 rows.
- check the values for the columns ‘’ConfirmedIndianNational’ and ‘ConfirmedForeignNational’.
- Drop the columns 'Sno' and 'Time'
- Find out the maximum cases until 11th Aug 2021 for each state.
- Find out the total confirmed cases till 11th Aug 2021.
- Find out the percentage for Active, fatal and cured cases.
- Check the data for the 10 most affected states with covid-19 in India.
- Find out the total death till Aug 2021.
- The following problem statements were given:
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Visualize Results:
- Run the python program and execute each of the above operation by typing the option number on the following CaseStudy11.csv file.
This project is licensed under the MIT License - see the LICENSE file for details.