Step - 1 - Introduction -> Give a detailed data description and objective Step - 2 - Import the data and display the head, shape and description of the data. Step - 3 - Univariate Analysis -> PDF, Histograms, Boxplots, Countplots, etc..

• Find the outliers in each numerical column
• Understand the probability and frequency distribution of each numerical column
• Understand the frequency distribution of each categorical Variable/Column
• Mention observations after each plot. Step - 4 - Bivariate Analysis
• Discover the relationships between numerical columns using Scatter plots, hexbin plots, pair plots, etc..
• Identify the patterns between categorical and numerical columns using swarmplot, boxplot, barplot, etc..
• Identify relationships between categorical and categorical columns using stacked bar plots.
• Mention observations after each plot. Step - 5 - Research Questions
• Times of India article dated Jan 18, 2019 states that “After doing your Computer Science Engineering if you take up jobs as a Programming Analyst, Software Engineer, Hardware Engineer and Associate Engineer you can earn up to 2.5-3 lakhs as a fresh graduate.” Test this claim with the data given to you.
• Is there a relationship between gender and specialization? (i.e. Does the preference of Specialisation depend on the Gender?) Step - 6 - Conclusion Step - 7 - (Bonus) Come up with some interesting conclusions or research questions (such as step-5). NOTE: Mention observations after each plot.