OBJECTIVE :

Analysis of the distribution of employment by gender across various sectors to understand representation and disparities.

DATA SET:The data set contains information about gender representation across different job sectors. Key variables include:

Job sector: The sector of employment (e.g., education, health).

Gender: Gender categories (e.g., male, female, other).

Count: Number of people employed in each sector by gender.

## [1] "Total Employment by Gender Plot:"

Graph Description:

A bar chart displays the total number of employees by gender (Male and Female), aggregated across all job sectors.

Interpretation:

The chart highlights the overall gender representation in employment. Any significant disparity in total counts between males and females would indicate underrepresentation of one gender in the workforce, necessitating further exploration of causes and contexts.

## [1] "Gender Distribution Across Occupations Plot:"

Graph Description: A bar chart depicts the distribution of male and female employees across different occupations, with bars grouped by gender for comparison within each occupation.

Interpretation: This visualization helps identify gender concentration in specific sectors. For example, some sectors may show balanced representation, while others may have male or female dominance, reflecting traditional gender norms or barriers to entry in certain fields.

Graph Description:

A bar chart depicts the distribution of male and female employees across different occupations, with bars grouped by gender for comparison within each occupation.

Interpretation:

This visualization helps identify gender concentration in specific sectors. For example, some sectors may show balanced representation, while others may have male or female dominance, reflecting traditional gender norms or barriers to entry in certain fields.

Graph Description:

A horizontal bar chart illustrates the average percentage of female earnings compared to male earnings across major categories.

Interpretation:

The graph highlights gender-based wage gaps. Categories with a significantly lower percentage indicate industries where women earn substantially less than their male counterparts, underscoring inequities in pay scales and the need for policies addressing wage parity.

Correlation Between Gender and Earnings

Graph Description:

A heatmap shows the correlation coefficients between various metrics (e.g., percent female, total earnings, male earnings, and female earnings).

Interpretation:

The heatmap provides insights into how gender representation correlates with earnings. For instance, a strong positive or negative correlation between the percentage of female workers and earnings metrics could indicate disparities in economic opportunities or the undervaluation of sectors with higher female participation.