What you can do with StatSwift

Statistics, charts, data tools, and experiment design in one browser workspace.

Explore the six tool areas below. Every plan includes the same features. Open an example to see the app and the available methods.

Basic statistics

Summarize data, compare groups, estimate confidence intervals, and examine relationships with statistical tests and regression.

See example and methods

Descriptive statistics for 125 synthetic shaft diameter measurements, showing counts, mean, median, and variation. — Descriptive statistics for 125 shaft diameter measurements in millimetres. Synthetic example data. View full-size image (opens in a new tab)

Available methods and tools

Descriptive statistics; one-sample, two-sample, and paired t-tests; ANOVA; proportions; chi-square; variance tests; confidence intervals; normality; outliers; distribution fitting; autocorrelation; linear regression; power and sample size; distribution calculations and normal distribution plots.

Read the descriptive statistics guide

Charts

Explore distributions, differences, and relationships with histograms, box plots, scatter plots, and other charts.

See example and methods

Histogram showing the frequency distribution of synthetic shaft diameter measurements in millimetres. — Histogram of the same 125 shaft diameter measurements used in the statistics example. Synthetic example data. View full-size image (opens in a new tab)

Available methods and tools

Histograms; box plots; individual-value plots; dotplots; scatter plots; scatterplot matrices; correlation matrices and heatmaps; bar charts; interval plots; line charts; main-effects and interaction plots; time series; Pareto charts.

Read the histogram guide

Worksheets and data tools

Import or paste data, edit worksheets, standardize or scale values, and generate sample data.

See example and methods

Worksheet showing the original Diameter_mm measurements alongside the generated Diameter_z z-score column. — Original diameter measurements beside their generated z-scores, in an independent worksheet copy. Synthetic example data. View full-size image (opens in a new tab)

Available methods and tools

CSV and TSV imports; spreadsheet paste; column types, filters, and sorting; z-score standardization; centering; scaling to [0,1] or [−1,1]; random data generation; fishbone diagrams.

Read the z-score guide

Design of experiments (DOE)

Create factorial and response surface designs, then analyze measurements collected from your experiments.

See example and methods

Generated full factorial worksheet with eight randomized runs, two factors at two levels, two replicates, and a blank response column. — Full factorial design: two factors at two levels, two complete replicates, and eight runs randomized with seed 42. The response column is blank for measurements. Synthetic example settings. View full-size image (opens in a new tab)

Available methods and tools

Full factorial and regular fractional factorial designs; central composite and Box–Behnken designs; replication, randomization, and blocks; analysis of recorded experimental results with effect estimates and residual diagnostics.

Read the full factorial design guide

Process control (SPC)

Review process variation with control charts and assess capability against specification limits.

See example and methods

StatSwift X̄–R result for shaft diameter measurements, with a shift in the last four subgroups. — Example: X̄–R control chart for 25 subgroups of five measurements. The last four subgroup means exceed the upper control limit. Synthetic example data. View full-size image (opens in a new tab)

Available methods and tools

X̄–R, X̄–S, I-MR, Z–MR, EWMA, CUSUM, p, np, c, and u charts; capability and performance analysis, including Cp/Cpk and Pp/Ppk. Control limits describe process behavior; they are not specification limits.

Read the X̄–R guide

Measurement systems (MSA)

Study repeatability, reproducibility, bias, linearity, stability, and agreement between assessors.

See example and methods

Gauge R&R chart showing equipment, operator, gauge, and part-to-part study variation. — Gauge R&R study with 10 parts, three operators, and three repeated measurements per combination. Synthetic example data. View full-size image (opens in a new tab)

Available methods and tools

Gauge R&R with ANOVA, Average & Range, and Range methods; Cg/Cgk (Type 1); stability; bias; linearity; Kappa for attributes.

Read the gauge R&R guide

Keep analyses and create reports

Return to saved analyses in your session and review the inputs used for a completed run. Select tables and charts, add your context and conclusions, and save a report. Preview it, download HTML, or use the print/save-as-PDF flow.

See a report example

Saved report preview containing the shaft diameter chart from a completed run. — A chart from a completed run, added to a report and opened in Preview. Synthetic example data. View full-size image (opens in a new tab)

Read the getting-started guide Browse guides and sample data