# CSV Histogram, Scatter and Box Plot Chart Studio

Upload or paste a CSV and chart it instantly: histograms with Sturges / Freedman-Diaconis / Scott binning, scatter plots with Pearson r and a least-squares fit, and Tukey box plots — every chart downloadable as PNG and SVG.

> Canonical page: https://elysiatools.com/en/tools/csv-histogram-scatter-box-plot-chart-studio

- **Category:** Data Visualization

- **Keywords:** csv histogram generator, csv scatter plot maker, csv box plot online, chart from csv upload, freedman-diaconis bins, pearson scatter fit

## Overview

One CSV in, three chart families out, with automatic numeric-column detection, row-aligned scatter pairs, quartiles by linear interpolation and Tukey 1.5×IQR outliers. Every chart is written as SVG and rendered to PNG for download.

## Inputs

- **CSV File** (file): data.csv
- **Or Paste CSV Data (header row first)** (textarea): hours,score,age 2.5,61,15 5,74,16 …
- **Chart Type** (select)
- **Numeric Columns (optional, comma separated)** (text): leave empty to auto-detect all
- **Histogram Binning Rule** (select)
- **Fixed Bin Count** (number): 10
- **Scatter X Column (optional)** (text): default: first numeric column
- **Scatter Y Column (optional)** (text): default: second numeric column
- **Overlay Normal Curve on Histograms** (checkbox)
- **Show Box Plot Outlier Points** (checkbox)
- **Color Scheme** (select)

## When to use

- Evaluating numeric distributions and assessing skewness or normality across raw data columns.
- Analyzing pairwise variable relationships with Pearson's r correlation and linear regression lines.
- Identifying statistical outliers and viewing quartile spreads across datasets using Tukey box plots.

## How it works

- Upload a CSV/TSV file or paste tabular delimited data containing a header row.
- Choose a chart view—overview, histogram, scatter plot, or box plot—and specify target numeric columns if needed.
- Customize visualization parameters, such as binning algorithms (Sturges, Freedman-Diaconis, Scott, or fixed count), normal curve overlays, and color palettes.
- View the generated interactive report and download individual plots as SVG or PNG images.

## Use cases

- Exploratory data analysis (EDA) for verifying data distributions and correlations before statistical modeling.
- Performance engineering to plot server response time distributions and detect high-latency tail outliers.
- Academic research and reporting to generate publication-ready correlation and distribution figures from experimental CSV logs.

## Frequently asked questions

### What binning methods are available for histograms?

You can select Auto, Sturges, Freedman-Diaconis, Scott, or specify a custom fixed bin count.

### How are outliers calculated in box plots?

Outliers are calculated using Tukey's method, flagging any data points that fall more than 1.5 times the interquartile range (IQR) above Q3 or below Q1.

### Can I choose specific X and Y columns for scatter plots?

Yes, you can manually enter column names for the X and Y axes or let the tool default to the first two detected numeric columns.

### Does the scatter plot include regression statistics?

Yes, the scatter plot automatically computes Pearson's correlation coefficient (r) and plots a least-squares linear trendline.

### Which export formats are available for download?

Every chart can be downloaded individually in scalable vector graphics (SVG) format or as a high-resolution PNG image.

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