Histogram Chart

In this article, we will explain how to create and customize a histogram chart. So let's get started!

What is a Histogram Chart?

A Histogram Chart is a type of bar chart that displays the distribution of numerical data. It divides the data range into intervals (called bins) and shows how many values fall into each bin. Unlike a bar chart, which is used for categorical data, histograms are ideal for continuous numerical data.

💡 Example: Age Distribution in a Population

Imagine you're working with a dataset containing the ages of individuals in a city survey. You want to understand which age groups are most common.

A histogram chart is ideal here, as it can group ages into intervals (e.g., 20–25, 25–30) and show how many people fall into each range.

🔢 Sample Data

Age Range	Frequency
20–25	15
25–30	42
30–35	28
35–40	18
40–45	10
45–50	7

📌 When to Use a Histogram

Use a histogram when you want to:

• Understand distribution of numerical data

• Detect patterns, clusters, or gaps

• Spot outliers or skewness

• Visualize frequency or spread of values like sales, profit, scores, etc.

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🔁 Common Variants of Histograms

• Stacked Histogram – Multiple categories stacked in each bin

• Normalized Histogram – Uses percentage values instead of raw counts

• Cumulative Histogram – Displays running total across bins

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🔧 Basic Configuration Options

• Bins: Define the number or size of intervals

• Aggregations: Use average, count, sum, etc.

• Sorting: Order by value or category

• Axis Titles: Add X and Y axis labels

• Bar Colors: Customize chart appearance

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🛠 Step-by-Step Guide

1. Enter Prompt & Proceed

• On the dashboard, in the “Describe what you are trying to analyze” field, enter a natural language query like:

  Avg Sales by Region. Show in Histogram

• Click Next to continue.

Infinity interprets your prompt and pre-selects the appropriate chart type and data fields.

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2. Select Data Source

• Choose from previously connected data sources listed in the dropdown

• Or upload a file in .csv or .xls format by dragging and dropping it or using the “browse” option

• Example selected dataset: global_superstore_orders

• Click Next once the dataset is selected

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3. Configure Histogram Settings

• Dimension (X-axis): Region

• Metric (Y-axis): Avg(Sales)

• Order By: Avg(Sales) (optional sorting)

Click Save once configuration is complete.

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4. Apply Styling (Optional)

Click Advanced Editor for styling and customization.

Available Styling Options (Summary):

• Chart Background – Set colors or transparency

• Padding & Zoom – Adjust space and interactive zoom

• Series – Customize bar styles, widths, and colors

• Legend – Control placement, visibility, and font

• Axes – Label formatting, tick spacing, and scaling

• Gridlines – Enable/disable lines and set styles

• Other – Tooltips, refresh behavior, and interactivity

These allow fine-tuning your chart for clarity, branding, and presentation-readiness.

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✅ Summary

You’ve now created a Histogram Chart that reveals the average sales distribution across regions using simple steps and natural language prompts. With advanced customization available, you can tailor the chart to meet different analytical and visual requirements.

Use Infinity's intuitive interface and styling tools to:

• Spot trends instantly

• Support decision-making

• Deliver visually impactful insights