Sheets in the file is distributed in the following way:
a. Data Profiling (Total count, Median, Mean, Quartile, Multi-mode, Min, Max, Blank Count, Sort and unique)
b. Country Wise Distribution (Countries with most suicide cases)
c. Country Wise Distribution (Countries with least suicide cases)
d. Year wise least suicide cases.
e. Year wise most suicide cases.
f. Distribution of Age group and gender with Suicide Cases. (Cumulative sum of suicide cases with respect to each Age group and gender)
g. Verify the Pattern of the data with Year, Gender, Agegroup and Country for confirmation of outlier either it is legitimate or not.
h. Gender wise distribution of Data.
i. Converted Age group into ordinal (1 (Smaller) -- 6(Greater value))
j. Filter the Data: Convert male and female into nominal categories, put ordinal values of age group.
k. Finding the Correlation of the table, which feature has a strong correlation and which has a weak correlation.
l. Calculating the each country-wise percentage towards overall suicide cases data. Instead of this another feature illustrate the suicide cases percentage of each country column with their population.
m. Top Ten countries table and plot after calculating the "each country-wise percentage towards overall suicide cases data".
n. Data distribution of top ten countries (Table + plot) having most suicide cases with respect to their population.
o. Data distribution of ten countries (Table + plot) having least suicide cases with respect to their population.
p. Measure the difference of each year regarding their previous year. Also figured out the weightage of data in a specific year w.r.t overall year data. Finally, generated a trend line plot.