Open map List

Histogram

A histogram is a graphical representation of the distribution of numerical data, where data values are grouped into intervals (bins) and displayed as adjacent bars. It shows the frequency or count of data points within each bin, helping to visualize patterns such as skewness, central tendency, and spread.

Basic

Introduction

Key Characteristics of a Histogram:

  • Represents continuous data (unlike a bar chart, which is for categorical data).
  • Uses bins (intervals) along the x-axis to group values.
  • The height of each bar represents the frequency (count) of observations in each bin.
  • No gaps between bars (unless a bin has zero values).

Explanation

Common Uses of Histograms:

✔ Statistical Analysis: Identifying patterns, normal distributions, and outliers.
✔ Data Science & Machine Learning: Understanding feature distributions before modeling.
✔ Cartography & GIS: Analyzing elevation, population density, or land cover distribution.
✔ Business & Finance: Representing sales trends, income distributions, or risk assessments.

Examples

Example of a Histogram:

  • X-Axis (Bins): Age ranges (e.g., 0–10, 11–20, 21–30, etc.).
  • Y-Axis (Frequency): Number of people in each age range.
  • Interpretation: A right-skewed histogram may indicate a younger population, while a left-skewed one suggests an aging population.

Outgoing relations