Q-Q Plot
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About this app
Q-Q Plot is a fast, fully offline app for checking whether your data follows a distribution - all in your pocket, no internet required.
The quantile-quantile (Q-Q) plot is the quickest visual test statisticians use: plot your data's quantiles against a theoretical distribution's quantiles. If the points sit on a straight line, your data fits. If they curve or flare, you'll see exactly how it deviates.
WHAT'S INSIDE
Q-Q plot
Your sample quantiles plotted against Normal, Uniform, or Exponential quantiles, with a reference line through the quartiles and a plain-language verdict.
Data
Type your numbers (with live thousands separators) and instantly see the PPCC fit score, line slope and intercept (which double as the standard deviation and mean for the Normal case), skewness, and kurtosis.
Concept
A plain-English walkthrough of quantiles, plotting positions, the reference line, and how to read S-curves and heavy tails - with offline KaTeX-rendered formulas.
Detrended view
Magnify tiny deviations from the reference line that are easy to miss on the standard plot.
Simulate
Generate Normal, skewed, uniform, or heavy-tailed data on demand and learn each distribution's Q-Q signature before you ever see it in real data.
Examples
Three worked examples - heights vs Normal, income vs Normal (skewed), and wait times vs Exponential - so you can see the method applied to real-world data.
WHY Q-Q PLOT
- 100% offline - your data never leaves your device
- No account, no sign-up, no clutter
- Clean, distinctive interface built for statistics students, researchers, and anyone curious about their data
- Works with Normal, Uniform, and Exponential reference distributions
- PPCC fit score gives you a single number to judge fit quality
Whether you're a student learning quantile-quantile plots for the first time, a researcher doing a quick sanity check on a dataset, or just curious whether your numbers follow a Normal distribution, Q-Q Plot gets you an answer in seconds.
The quantile-quantile (Q-Q) plot is the quickest visual test statisticians use: plot your data's quantiles against a theoretical distribution's quantiles. If the points sit on a straight line, your data fits. If they curve or flare, you'll see exactly how it deviates.
WHAT'S INSIDE
Q-Q plot
Your sample quantiles plotted against Normal, Uniform, or Exponential quantiles, with a reference line through the quartiles and a plain-language verdict.
Data
Type your numbers (with live thousands separators) and instantly see the PPCC fit score, line slope and intercept (which double as the standard deviation and mean for the Normal case), skewness, and kurtosis.
Concept
A plain-English walkthrough of quantiles, plotting positions, the reference line, and how to read S-curves and heavy tails - with offline KaTeX-rendered formulas.
Detrended view
Magnify tiny deviations from the reference line that are easy to miss on the standard plot.
Simulate
Generate Normal, skewed, uniform, or heavy-tailed data on demand and learn each distribution's Q-Q signature before you ever see it in real data.
Examples
Three worked examples - heights vs Normal, income vs Normal (skewed), and wait times vs Exponential - so you can see the method applied to real-world data.
WHY Q-Q PLOT
- 100% offline - your data never leaves your device
- No account, no sign-up, no clutter
- Clean, distinctive interface built for statistics students, researchers, and anyone curious about their data
- Works with Normal, Uniform, and Exponential reference distributions
- PPCC fit score gives you a single number to judge fit quality
Whether you're a student learning quantile-quantile plots for the first time, a researcher doing a quick sanity check on a dataset, or just curious whether your numbers follow a Normal distribution, Q-Q Plot gets you an answer in seconds.
See if your data fits a distribution - clear Q-Q plots, fully offline.
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- This app may share these data types with third partiesDevice or other IDs
- No data collectedLearn more about how developers declare collection
- Data is encrypted in transit
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About the developer
Dedi jamaludin Suryana
simulasikreditapp@gmail.com
BATUNUNGGAL NO.143
004/011 BATUNUNGGAL BANDUNG KIDUL
bandung
Jawa Barat 40266
Indonesia
