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Analysis
Summaries, statistics, distributions, correlations.
21 ready tools out of 21 listed in this workflow.
Summary
9
Row Count
Ready
Count rows in a dataset.
Column Analysis
Ready
Type, range, nulls for every column.
Unique Value Count
Ready
Count distinct values per column.
Missing Data Report
Ready
Analyze missing values by column and row with CSV, heatmap, and markdown outputs.
Dataset Health Analyzer
Ready
Score CSV health across missing values, duplicates, row shape, and type consistency.
Duplicate Analysis
Ready
Quantify exact and near-duplicates.
CSV Column Analyzer
Ready
Per-column types, ranges, uniques, nulls.
CSV Duplicate Finder
Ready
Surface duplicate rows by chosen key columns.
Missing Data Heatmap
Ready
A heatmap that shows where the gaps are in your dataset.
Relationships
2
Join Key Analyzer
Ready
Compare two CSV tables and rank the safest join keys with duplicate and unmatched-rate diagnostics.
Primary Key Finder
Ready
Find unique identifiers, composite keys, and almost-keys that fail due to blanks or duplicates.
Statistics
10
Mean / Median / Mode
Ready
Central tendency for numeric columns.
Standard Deviation
Ready
Compute σ and variance per column.
Correlation Matrix
Ready
Pairwise correlations between numeric columns.
Distribution Analysis
Ready
Skewness, kurtosis, histogram per column.
Column Statistics
Ready
Min/max/mean/median/stddev/quartiles for every numeric column.
Data Distribution Viewer
Ready
Histograms / KDE per column with quick outlier flags.
Frequency Distribution
Ready
Value-count tables for categorical columns.
Z-Score Calculator
Ready
Per-row z-scores for any numeric column with outlier highlights.
Regression Preview
Ready
Quick linear / polynomial fit + R² for two columns.
Trend Detection
Ready
Surface monotonic trends, level-shifts, and seasonality in time series.
