Project 2 - Gender Bias in Science and Technical field

Literacy Rate in Tamilnadu.

Table of contents

o Aim
o Introduction
o Problem statement
o Methodology
o Analysis (Data sheets pertaining to it)
o Insights
o Recommendations.
o Conclusions

Aim:-
This project aims to analyse data in detail Literacy Rate in Tamilnadu.

Introduction:-
The main objective of this project is to analyse the data on, Literacy Rate in Tamilnadu Through the Analysis of data, we can find out some important insights.

Problem Statement:-

• We can find the population By State and District wise.
• We can find to literacy In tamilnadu.
• We can find Total Scheduled Castes Literacy Rate
• We can find literacy rank by state wise
• We can find the Ratio between student and teacher.

Methodology:-
Visualization
In visualization, I took the help of Tableau Desktop software to make graphs and charts here some relevant graphs and charts are attached.

Analysis (Data sheets pertaining to it):-
In observation found some interesting points that are mentioned below.
•

Insights:-
• In conclusion, we can take a look at the final Report for further analysis.
• We Total Population and Total population Female for each State/District. Color shows details about Total Population and Total population Female. The view is filtered on State/District, which excludes Tamil Nadu.

The trends of Total Amount (Rs. in Lakhs) (SC+ST+MBC/DNC+BC Christian+Muslim+Buddist+Jain+Sikhs) and sum of Total No of Beneficiaries for District. Color shows details about Total Amount (Rs. in Lakhs) and sum of Total No of Beneficiaries . The view is filtered on District, which excludes Total District.

Sum of No. of Institutions for each Type of Institution. Color shows sum of No. of Institutions. The view is filtered on Type of Institution, which excludes Total.

Teachers and Total All Boys & Girls Students for each Type of Institution. Color shows details about Teachers and Total All Boys & Girls Students. The view is filtered on Type of Institution, which excludes Total.

Recommendations:-
• We can collect good datasets for analysis.
• We can analyse the data of the overall world.
• Like this dataset we can perform operations with various categories, city-wise or region-wise.
• We can work on large datasets and analyze them with the proper format of the chart.

Conclusion:-
In conclusion, we can take a look at the final Report for further analysis.