Data Summary

Data Analysis

4.8•42 reviews

350ms

Version: 1.0.0

A powerful API that analyzes JSON and CSV datasets to provide comprehensive statistical summaries. Get detailed insights into your data with statistical calculations like mean, median, standard deviation, as well as distribution analysis, outlier detection and correlation analysis. Perfect for data exploration, quality assessment, automated reporting, and insights generation.

JSON & CSV Support

Comprehensive Statistics

Correlation Analysis

Outlier Detection

Distribution Analysis

Column Type Detection

API Playground

Test the API endpoints with different parameters and see the responses in real-time.

Analyze data to extract comprehensive statistical insights using a POST request

POST/api/data-summary/

Use Case Example

This endpoint is perfect for quickly gaining insights into a dataset without writing custom analysis code. You can use it to understand data distributions, identify anomalies, check for correlations between numerical fields, and get a statistical overview of your data before deeper analysis.

Request Parameters

POST/api/data-summary/

Required Parameters1

data*

string | object

The dataset to analyze, either as a JSON string, parsed JSON object, or CSV string

Optional Parameters

6 available

Show optional parameters

format

string

The format of the data: "json" or "csv". Will be auto-detected if not specified

includeOutliers

boolean

Whether to include outlier detection in the analysis

includeDistribution

boolean

Whether to include value distribution analysis in the results

decimalPlaces

integer

Number of decimal places to round numerical statistics to (0-10)

sampleSize

integer

Number of sample values to include in the results for each column (1-20)

excludeColumns

string[]

Array of column names to exclude from the analysis

Sample Code

curl

curl -X POST "/api/data-summary/" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "data": "{"id":[1,2,3,4,5],"value":[10,15,13,22,8],"category":["A","B","A","C","B"]}",
    "format": "json",
    "includeOutliers": "true",
    "includeDistribution": "true",
    "decimalPlaces": "2",
    "sampleSize": "5",
    "excludeColumns": "[]"
  }'

Ready-to-use code

This is ready-to-use code you can copy into your project. Just replace YOUR_API_KEY with your actual API key from your developer dashboard.