Objective

I wish to find out what the trends arise between Gender, Race, and Economic Context. Gender Inequality Index by GIANINA-MARIA PETRAȘCU on Kaggle for this project.

Hypothesis

My hypothesis is that men have records of going into second education more than other genders, and that the Rank correlated positively with the amount of women going into secondary education. This is based on my previous knowledge on intersectionality and discrimination.

Results

After making a table that housed the overall mean of the percentage of Male Secondary Education and Female Secondary Education, I plotted it, shown here:

plot(avg_sec_edu)

Note that the left hand side (the y axis) starts at 62.5 and ends at 67.5. This is said to give transparancy that the difference between the two values is not as drastic as the plot shows.

I also used the raw data in Tableau to create the below graphic. It shows the World Map, color coded based on Female Secondary Education rate, Male Secondary Education rate, and overall Country Rank.

Three plots: Rate of Female Secondary Education on a world map, Rate of Male Secondary Education on a world map, and Country Rank on a world map.

Three plots: Rate of Female Secondary Education on a world map, Rate of Male Secondary Education on a world map, and Country Rank on a world map.

According to the results from the data, there is a correlation between contries that have lower ranks with lower rates of women going into secondary education. However, there is also a correlation, though not as strong, between country rank and the rate of male secondary education. The levels of secondary education overall is greater with males than females.

Conclusion

The results show that there should be an emphasis on increasing education for women, agreeing with the hypothesis, but findings also found that education in general should be increased.