Highlights
1. Load dataset
2. Subset only those rows that have “India” in the “location” column(This subsetted dataframe has to be used for modelling)
3. Univariate Analysis:
a. Draw histograms of each numerical variable
b. Find mean, median and mode of each column
4. Bivariate Analysis:
a. Draw scatter plots of each numerical column versus one another
b. Draw line plots of each numerical column versus one another
5. Handle Missing values:
a. If there are null values in numerical column, replace the null values by the mean of that column
b. If there are null values in categorical column, replace the null values by the mode of that column
c. If more than 50%the values in a column are null, then drop that entire column
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