ToolypetMCP
intermediate3 minutescross hub

Calculate Statistics from JSON Data

Parse JSON data, extract numeric values, and compute statistical measures like mean, median, and standard deviation.

statisticsjsondata-analysiscalculator

Wann dieses Rezept verwenden

Quickly analyze numeric data from API responses, CSV exports, or database queries. Get statistical insights without setting up a spreadsheet or writing code.

Schritte

1

Validate the data structure

Eingabeaufforderung:Format and validate this JSON dataset: [{"name":"A","value":45},{"name":"B","value":72},{"name":"C","value":38},{"name":"D","value":91},{"name":"E","value":63}]
2

Compute statistical measures

Eingabeaufforderung:Calculate mean, median, mode, standard deviation, and variance for the values: 45, 72, 38, 91, 63
3

Calculate relative percentages

Eingabeaufforderung:What percentage of the total (309) does the highest value (91) represent?

Häufig gestellte Fragen

When should I use mean vs median?

Use median when data has outliers (income, home prices). Use mean for normally distributed data (test scores, temperatures). Median is more robust to extreme values.

What does standard deviation tell me?

How spread out the data is. Low SD means values cluster near the mean. High SD means wide variation. ~68% of data falls within 1 SD of the mean in normal distributions.

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