CSV Histogram, Scatter and Box Plot Chart Studio

CSV Histogram, Scatter and Box Plot Chart Studio | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Data Visualization
Input types: file, textarea, select, text, number, checkbox
Output type: html
Sample coverage: 4
API ready: Yes

Overview

Transform raw CSV and TSV data into publication-ready statistical visualizations with instant generation of histograms, scatter plots, and Tukey box plots. The tool automatically detects numeric columns, applies standard binning algorithms (Freedman-Diaconis, Sturges, Scott), calculates Pearson correlation coefficients with least-squares fit lines, and provides vector SVG and PNG downloads for every generated chart.

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

1Upload a CSV/TSV file or paste tabular delimited data containing a header row.
2Choose a chart view—overview, histogram, scatter plot, or box plot—and specify target numeric columns if needed.
3Customize visualization parameters, such as binning algorithms (Sturges, Freedman-Diaconis, Scott, or fixed count), normal curve overlays, and color palettes.
4View 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.

Examples

1. Study Hours vs. Exam Scores Correlation

Academic Researcher

Background

Analyzing a classroom survey dataset to evaluate the relationship between preparation hours and final test performance.

Problem

Needs to evaluate linear correlation and examine the score distribution for normality.

How to use

Paste classroom CSV data into the input field, select the Overview chart type, enable the normal curve overlay, and generate the report.

chartType: 'overview', binRule: 'fd', showNormalCurve: true, showOutliers: true, colorScheme: 'default'

Outcome

Generates a full dashboard featuring FD-binned histograms with fitted normal curves, a scatter plot showing Pearson's r with a linear fit line, and quartile box plots.

2. API Response Time Outlier Analysis

DevOps Engineer

Background

Investigating server latency spikes recorded in application telemetry CSV exports.

Problem

Needs to isolate extreme latency outliers beyond standard percentiles without writing custom scripts.

How to use

Upload latency CSV logs, select Box plot only, ensure outlier display is enabled, and choose the Amber color scheme.

FAQ

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.

chartType: 'box-plot', showOutliers: true, colorScheme: 'amber'

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Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Study Hours vs. Exam Scores Correlation

2. API Response Time Outlier Analysis

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