CSV Cleaner
Clean rows, normalize columns, and remove duplicates quickly.
One page. One job. Done.
Enhanced Category
Data and statistics tools for cleaning inputs, calculating distributions, running common tests, comparing values, and turning structured data into charts.
Use this category when the job is to inspect data quality, summarize a sample, estimate uncertainty, test a hypothesis, or create a quick chart for review.
Clean rows, normalize columns, and remove duplicates quickly.
Run one-way ANOVA summary statistics for multiple groups.
Create bar charts from labeled values and compare categories at a glance.
Compute posterior probability from prior, sensitivity, and false positive rate.
Create bubble charts from x, y, and size values.
Calculate chi-square goodness-of-fit statistic from observed vs expected counts.
Clean rows, normalize columns, and remove duplicates quickly.
Run one-way ANOVA summary statistics for multiple groups.
Create bar charts from labeled values and compare categories at a glance.
Compute posterior probability from prior, sensitivity, and false positive rate.
Create bubble charts from x, y, and size values.
Calculate chi-square goodness-of-fit statistic from observed vs expected counts.
Estimate confidence intervals from mean, standard deviation, and sample size.
Convert confidence levels to z critical values and margin of error.
Create donut charts from labeled values with configurable center hole.
Compare sample variances with F statistic and degrees of freedom.
Create funnel charts from stage values and inspect conversion drop-off.
Create project timeline visualizations.
Find geometric mean for positive-number datasets.
Calculate harmonic mean for rates and ratios.
Create heatmaps from row-column-value data matrices.
Create histograms from numeric samples to view distribution across bins.
Create line charts from labeled values to visualize change over time.
Compute rolling averages over a configurable window.
Compute probability between two bounds in a normal distribution.
Compute one-sample t-statistic from sample values and hypothesized mean.
Create Pareto charts with sorted categories and cumulative percentages.
Calculate Pearson r and R² from paired X and Y datasets.
Find percentile rank of a target value within a dataset.
Create pie charts from labeled values and visualize proportional shares.
Calculate exact and cumulative Poisson event probabilities.
Create radar charts from metric-value pairs across a shared scale.
Compute RR, OR, and confidence intervals from a 2x2 contingency table.
Estimate required sample size from confidence level, margin error, and proportion.
Visualize flow data with Sankey diagrams.
Create scatter plots from x,y points to inspect relationships.
Create stacked bar charts from grouped segment values.
Visualize hierarchical data with tree maps.
Create waterfall charts from positive and negative step changes.
They handle focused data & statistics tasks where a single-purpose page is faster than a spreadsheet or full application.
This category currently includes 33 focused tools, with the most practical starting points shown first.