Exploratory Data Analysis (EDA) using Dataset of Loan Repayment.
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Updated
Sep 1, 2020 - Jupyter Notebook
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identify-patterns
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To clean and analyze data to find trends in global population, fertility, and life expectancy from 1960 to 2016. This idea was inspired by hans rosling . To analyze the data, I used a scatter bubble chart, which clearly shows how's the population increased and the fertility rate decreased from 1960 to 2016.
reporting data-analysis data-exploration identify-patterns vizualisation data-cleaning-and-preprocessing expolatory-data-analysis
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Updated
Mar 1, 2024 - Jupyter Notebook
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