Introduction

• Census datasets contain large demographic information
• Understanding relationships between variables is important
• Visualization helps in better data analysis
• Scatter plots are used to analyze relationships

Objective

• To analyze relationship between two continuous variables
• To visualize data using scatter plot
• To identify trends and patterns
• To use interactive visualization

Data Source

• Dataset: Census 2011 (India)
• Source: data.gov.in
• Contains population details of regions
• Variables used:
  • Total Population
  • Male Population

Data Loading

• Dataset stored as Excel file
• Loaded into R using read_excel()
• Converted into dataframe
• Required columns selected for analysis

Data Cleaning

• Column names cleaned using clean_names()
• Selected required variables
• Removed missing values
• Renamed columns for clarity

Data Transformation

• X-axis mapped to Total Population
• Y-axis mapped to Male Population
• Data prepared for visualization
• Ensured numeric consistency

Feature Engineering

• Bubble size represents population
• Color represents variation
• Hover text shows region name
• Improves interpretability

Visualization

The scatter plot uses Plotly to display the relationship between total population and male population. It provides an interactive view with zooming, hovering, and panning features.