Bring the file
Open one or several CSVs. PlotPeek detects comma, semicolon and tab delimiters and recognises common local, ISO and European date formats.
Complete feature guide
Will PlotPeek answer
your question?
Every analysis mode and export control currently available in PlotPeek—laid out clearly so you can decide whether it fits the job before you download it.
11 analysis modes4 export formats3 Apple platforms
Start with your question
Choose the right view.
Jump directly to the mode that matches what you need to understand.
01
How did it change over time?
Time series ↘02Do these two variables move together?
Scatter + regression ↘03How well does a polynomial fit?
Regression Lab ↘04Which relationships deserve a closer look?
Correlation ↘05What happens across three dimensions?
3D explorer ↘06What is the shape of this variable?
Histogram ↘07How do groups differ in spread?
Box / violin ↘08What is the fastest numeric health check?
Summary statistics ↘09Which category is larger?
Bar chart ↘10How is a total divided?
Pie / donut ↘11Which exact rows support this view?
RAW data ↘Mode by mode
Everything available.
Each card tells you what the mode answers, what you can control, what it returns, and where its limits begin.
Time & source
Follow the signal—or inspect the records behind it.
Move between an ordered view of change and the exact rows that produced it.
Analysis mode
Time series
Track one or many numeric variables across time, compare files, and isolate the period that matters.
Available controls
- Choose the time column and any number of value columns
- Build repeated series by sensor, building, scenario or another grouping column
- Select columns from one file or every active file; search long column lists
- Save and reuse value-column selections
- Resample at 1, 5 or 15 minutes; 1 or 6 hours; or 1 day
- Aggregate intervals by mean, sum, minimum, maximum or RMS
- Smooth with rolling mean, rolling median, EMA or Gaussian windows
- Set exact start/end dates or jump to all, last 7 days or last 30 days
- Cap rendered points for responsive work with large files
- Rename axes and series; set colours, solid/dashed/dotted lines and line widths
- Move selected series to a secondary Y-axis with its own title, colour and grid
What you get
An interactive multi-series line chart with visible row count, time range, filters, hover values, zoom and pan.
Fit check
Use it when sequence and timing matter. If time order does not matter, start with Scatter or Histogram instead.
Analysis mode
RAW data
Inspect the source table and verify the exact records behind a visual result.
Available controls
- Choose which columns are visible
- Sort rows without changing the imported file
- Apply the same category and numeric filters used by analysis views
- Keep source-file identity when several CSVs are active
- Export the filtered records as a new CSV
What you get
A sortable table of filtered source rows, with the visible columns you choose.
Fit check
Use it to audit, filter and extract rows. PlotPeek does not aim to replace spreadsheet formulas or cell-by-cell editing.
Relationships & models
Ask how variables move together.
Start visually, add an exploratory fit when useful, or scan many relationships at once.
Analysis mode
Scatter + regression
Compare two numeric variables and see whether their relationship is linear, curved or grouped.
Available controls
- Choose numeric X and Y columns
- Colour points by an optional category or group column
- Add no fit, a linear fit, or a degree-2 or degree-3 polynomial fit
- Inspect individual points and apply shared filters before fitting
What you get
An interactive point cloud with optional fitted curve, equation, R² and sample count.
Fit check
Use it for a quick relationship check. A visual association or high R² does not establish causality.
Analysis mode
Regression Lab
Explore a polynomial model in more detail and understand the fit at a specific X value.
Available controls
- Choose numeric X and Y columns
- Select polynomial order from 1 through 8
- Evaluate the fitted curve and draw its tangent at a chosen X value
- Review equation, average X/Y, R², adjusted R², RMSE, residual standard error, MAE and correlation
- Read predicted Y and tangent slope at the evaluation point
What you get
Observed points, fitted curve and tangent, plus a compact diagnostic panel.
Fit check
Use it for exploratory in-sample modelling. It does not provide confidence intervals, hypothesis tests or cross-validation.
Analysis mode
Correlation
Screen several numeric columns and find the variable pairs worth investigating next.
Available controls
- Select any set of numeric columns
- Switch between Pearson linear correlation and Spearman rank correlation
- Inspect each pair independently after active filters
- Move an interesting pair directly into a scatter-style investigation
What you get
A colour-coded correlation matrix with coefficient values and complete-pair counts.
Fit check
Use it as a fast relationship map. Check important cells with a scatter plot before drawing a conclusion.
Analysis mode
3D explorer
Place three numeric variables in one interactive scene when a flat projection hides the geometry.
Available controls
- Choose numeric X, Y and Z axes
- Render points, a connecting line, a filled area or volume bars
- Adjust opacity and point size
- Rotate, pan and zoom with native mouse, trackpad or touch gestures
What you get
A rotatable, zoomable and pannable 3D view of filtered X, Y and Z triples.
Fit check
Use it to discover a geometric lead, then verify the pattern in 2D or with a statistical view.
Distributions & summaries
See the shape—not only the average.
Inspect frequency, spread, outliers and robust descriptive statistics before going deeper.
Analysis mode
Histogram
Understand the shape, concentration and tails of one or several numeric variables.
Available controls
- Select one or many numeric columns
- Choose 5 to 200 bins
- Normalize as count, percent, probability or density
- Display multiple series overlaid, stacked or grouped
- Add quartiles, Tukey whiskers and outlier context
What you get
Comparable equal-width bins across selected columns, with an optional Tukey summary.
Fit check
Use it to see distribution shape. Try more than one bin count when the apparent pattern matters.
Analysis mode
Box / violin
Compare spread and distribution shape across categories or as one overall sample.
Available controls
- Choose a numeric value column
- Optionally split values by a group column
- Switch between box and violin representations
- Show or hide individual sample points
- See quartiles, 1.5 × IQR whiskers and graphical outliers
What you get
A Tukey box plot or Gaussian-kernel violin plot, optionally overlaid with sample points.
Fit check
Use it to compare groups and spot skew or outliers. Small samples need extra care in a violin view.
Analysis mode
Summary statistics
Run a compact numeric audit before choosing a more specific analysis.
Available controls
- Select any set of numeric columns
- Review valid and missing/invalid counts
- Compare mean and median
- Inspect P5, P25, P75 and P95 percentiles
- See minimum, maximum and sample standard deviation
- Recalculate every column independently after active filters
What you get
A per-column table of valid and missing values, centre, spread, percentiles and extremes.
Fit check
Use it for a first health check. Descriptive statistics do not test hypotheses or quantify sampling uncertainty.
Categories & composition
Turn groups into an ordered comparison.
Aggregate categories explicitly, rank them, or show parts of a meaningful whole.
Analysis mode
Bar chart
Compare a numeric measure—or record count—across categories.
Available controls
- Choose category and numeric value columns
- Aggregate by mean, sum, median, minimum, maximum or count
- Keep original order or sort ascending/descending
- Apply shared filters before aggregation
What you get
An aggregated category chart that can preserve source order or rank by the result.
Fit check
Use it for category comparison and ranking. Choose the aggregation that matches the real question.
Analysis mode
Pie / donut
Show non-negative category totals as parts of a meaningful whole.
Available controls
- Choose label and numeric value columns
- Show the top 2 to 50 categories
- Switch between pie and donut
- Group every remaining category as Other or omit it
What you get
A pie or donut using the largest categories, with an optional combined Other segment.
Fit check
Use it for composition with a small number of positive parts. Prefer Bar when precise comparison matters.
Export options
Make the next step ready.
Export the evidence, the presentation-ready view, or the exact filtered rows—without rebuilding the work elsewhere first.
PNGJPEGPDFCSV
Plot, image or PDF
- PNG, JPEG or vector PDF output
- Custom title and optional plot frame
- White, dark or transparent background
- Legend above, below, left, right or hidden
- Live preview before saving
Shape it for its destination
- Current, 1:1, 4:3, 16:9 or 3:2 aspect ratios
- Custom width and height
- Resolution from 1× to 4×
- Save reusable export presets
- Save the current on-screen view directly as PNG
Choose exactly what appears
- Include all, visible or selected time series
- Rename legend labels for export
- Set per-series colours
- Choose solid, dashed, dotted or dash-dot lines
- Set global or per-series line widths
Filtered CSV
- Export rows that pass the active filters
- Time-series export follows the current visible time range
- Keep only the visible time-series columns
- Preserve repeated-series group values
- Include source-file identity when combining files
A lightweight companion
Know when PlotPeek fits.
PlotPeek is strongest for fast, interactive first-pass exploration and clean handoff. It complements deeper tools instead of trying to absorb their jobs.
- You have a CSV and need to understand it now
- You want to test several visual questions quickly
- You need a clean plot, PDF or filtered extract
- You are moving between iPhone, iPad and Mac
- You need spreadsheet formulas or cell editing
- You are building an automated live dashboard
- You need publication design or collaborative reporting
- You require statistical inference or production modelling
iPhone · iPad · Mac