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Data analysis using Python programming

Data cleaning and preprocessing

drop unimportant columns and drop duplicates

Data Handling

Reduce the number of specializations. By using the logic, put every specialization into a category called "other", if the specialization is below 10
Identify the outliers by scatter plot
Assign null values with their mean values

Data visualization

perform by,

histogram
scatterplot
count plot
pie chart
heat map-represent the correlation between variables