Adult_Income_data

https://github.com/Mahshid-Tofigh/Adult_Income_data

Adult income Analysis

Project done by

• Mahshid Tofigh

  Table of Content

  1. Project Overview
  2. Why this topic?
  3. Source Data
  4. Sections
  • Work-class Income Analysis
  • Race based Income Analysis
  • Age Income Analysis
    1. Tools and Technologies
    2. Dashboard

Project Overview

Analysing adult income data shows how parameters like races, genders, and educations can affect the amount of income. Income yield prediction salary income is largly influenced by age, gender, and race. Reliable information about the income level for those categories is critical for making prediction of their income.

Why this topic?

“How does inequality affect the individual, society and the economy?” (The Equality Trust, 2023)

Less equivalent social orders have less steady economies. Elevated degrees of pay disparity are connected to monetary insecurity, monetary emergency, obligation and expansion.

“We need bold actions!”

The inequality impacts economic, social mobility and education, crime, health, trust, participation, atitude, and happiness. (The Equality Trust, 2023)

I picked data from the kaggel database to compare the income adults’ income level according to their age, gender, and races.

Source Data

Original datasets for this project were taken from Kaggle: Adult Income_Dataset

Sections

Work-class Income Analysis

• Objectives: To give the users visual representation of different income based on different work-class.

Race-based Income Analysis

• Objectives: To give users visual representation of the income based on races, with a pie chart.

Age Income Analysis

• Objectives: To give users visual representation of the income based on age, using bar chart.

• How it works: The app also can be used in any computer for any user. So, the user can download data in a csv file from the local computer and get basic analysis about the data. like getting some statistical information.

https://github.com/Mahshid-Tofigh/Adult_Income_data/blob/main/Adult%20income.m4v

Tools & Technologies

• Database
  • Local data base
• Data Analysis
  • Jupyter Notebook
  • Pandas
  • Numpy
  • Matplotlib
  • Plotly
  • Seaborn
  • Streamlit
  • Spider
• Dashboard
  • Javascript
  • HTML
  • CSS
  • Boostrap5