18 tools in this category. Click any ready-to-use tool to open it.
Count rows in a dataset.
Type, range, nulls for every column.
Count distinct values per column.
Percent of missing values per column.
Quantify exact and near-duplicates.
Per-column types, ranges, uniques, nulls.
Surface duplicate rows by chosen key columns.
A heatmap that shows where the gaps are in your dataset.
Central tendency for numeric columns.
Compute σ and variance per column.
Pairwise correlations between numeric columns.
Skewness, kurtosis, histogram per column.
Min/max/mean/median/stddev/quartiles for every numeric column.
Histograms / KDE per column with quick outlier flags.
Value-count tables for categorical columns.
Per-row z-scores for any numeric column with outlier highlights.
Quick linear / polynomial fit + R² for two columns.
Surface monotonic trends, level-shifts, and seasonality in time series.
