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Resample a CSVtime series

Bucket rows by day, week, month, quarter, or year and aggregate a measure into a tidy period-by-value series - 100% in your browser.

01 · How it works

Three steps, then done.

Resampling turns irregular, row-level timestamps into evenly spaced periods you can chart or compare. Point the tool at your date and value columns, choose how to aggregate, and pick the period size.

1

Pick your date and value columns

Choose the column holding timestamps and the numeric column you want to roll up. Dates are parsed flexibly and unparseable rows are skipped, not guessed.

2

Choose an aggregate and frequency

Select sum, average, count, min, or max, then set the bucket size: daily, weekly, monthly, quarterly, or yearly. Counts include every dated row; other aggregates ignore blank values.

3

Export the resampled series

Get a two-column period,value CSV sorted chronologically, ready to chart, join, or feed into another tool. Nothing is uploaded - the work happens on your machine.

02 · Why ours

Why resample yourCSV time series

Raw event logs and transaction exports rarely line up to clean intervals. Resampling makes them comparable, chartable, and small.

  • 1

    Even, comparable periods

    Collapse thousands of irregular timestamps into uniform buckets so month-over-month or year-over-year comparisons actually line up.

  • 2

    Right-sized aggregates

    Sum revenue, average a sensor reading, count events, or grab the min and max per period - each aggregate handles blanks and non-numeric cells safely.

  • 3

    Chart-ready output

    A tidy period,value series sorted in time order drops straight into a line chart, a spreadsheet, or another CSV step with no reshaping.

  • 4

    Private by design

    Every byte is processed locally in your browser. No upload, no account, no server ever sees your data.

"Irregular timestamps in, evenly spaced periods out - aggregated, sorted, and ready to chart without a single upload."
csvtodashboard.com
03 · FAQ

resample questions.

How are dates parsed and truncated?
Each row's date cell is parsed flexibly, then truncated to the start of its period - the first day of the day, the Monday of the week, the first of the month, the start of the quarter, or January 1 of the year. Rows whose date cannot be parsed are skipped.
Count returns the number of rows with a valid date in each period, regardless of the value column. The other aggregates - sum, average, min, and max - only consider rows whose value column parses to a number, ignoring blanks.
Weeks are truncated to the Monday that begins the ISO week containing each date, and the period label shows that Monday's date. This keeps weekly buckets consistent across month and year boundaries.
Blank and non-numeric cells in the value column are ignored by sum, average, min, and max. If a period ends up with no numeric values, its value is left empty rather than shown as zero.
No. CSV Resample runs entirely client-side in your browser. Your file is never sent to a server, so even large or sensitive exports stay on your device.
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