Week 2 (9/22) Update on the Project.

So, previously we imported all the data into data frames and found all the mean, median, and mode values
This week we tried to plot the bar graph for both Diabetic vs. Obesity and Diabetic vs. Inactivity and visualized the Skewness and Kurtosis then we calculated both values of Skewness and Kurtosis

Once i got the values i tried to explore the Probability Plot
this type pf graph useful to identify OUTLIERS from the graph by plotting the line. The point at the maximum and minimum extreme of the line or points or suspected values or outliers.
Probability Plots identify
1. Asymmetrical Distribution.
2. Discrete Distribution.
3. Design experiments.
4. Reliability of the model.


For upcoming week, I’ll try to implement the data model with linear regression concept into it.