About Data Profiling Tool Online
Data profiling means looking at each column of a dataset before you use it. This tool opens on the Profile tab, a table with one row per column showing its type, missing count and percentage, unique values, its distribution and any stray values. It is free, needs no sign-up and runs in your browser, so nothing you enter is uploaded.
For numeric columns the distribution cell is a small histogram with eight equal-width bars between the minimum and the maximum. For text and date columns it lists the five most common values with their counts. The missing column shows both the count and the share of rows, such as 1 (20%), which makes gaps stand out immediately.
Types are inferred from the values by majority: a column is a number when at least 95 percent of its non-missing values are numbers, a date when 95 percent look like dates (such as 2026-03-04 or 3/4/2026), text otherwise, and empty when every cell is missing. The values that did not fit are listed in the last column, up to ten distinct ones. A high unique count in a text column suggests an identifier, and a unique count of 1 suggests a constant column that adds nothing. The profile does not suggest fixes, detect duplicate rows or find outliers. It shows what is there so you can decide.
How to use Data Profiling Tool Online
- Drop a file onto the box, tap it to choose one, or paste a copied file. CSV, TSV, TXT, XLSX and XLS files up to 20 MB are accepted. To paste text instead, use the text box below it.
- For a workbook with several sheets, choose the sheet from the Sheet list that appears.
- Read the Overview: rows, columns, missing values, the delimiter and any columns that held stray values.
- Open Summary for per-column statistics, then Profile for types, percentage missing, distributions and the stray values.
- Open Correlation to see how the numeric columns move together, with blue for positive and red for negative.
- Open Preview to read the rows, 50 per page. Type in the filter box to keep matching rows, and press a column header to sort.
- Open Chart, pick a chart type and a column (two for a scatter plot), or press Open Chart Maker for more chart types.
- Press the download button in Summary to save the column statistics as a CSV file.
Features
- Open .csv, .tsv, .txt, .xlsx and .xls files up to 20 MB, or paste a file or text.
- Parsing runs in a Web Worker for files and pastes, never on every keystroke. The paste box waits half a second after you stop typing.
- Automatic delimiter detection among comma, semicolon, tab and pipe, with quoted fields and a leading byte-order mark handled.
- Excel support through SheetJS, loaded only when a workbook is opened, with a sheet picker.
- Columns are tracked by position, so two columns with the same header stay separate. The second one is shown as "name (2)".
- Majority-type inference: a column is numeric when 95 percent or more of its non-missing values are numbers, and a date column on the same rule. Stray values are listed.
- Missing values recognised as empty cells, NA, N/A, NaN, null, none, nil, a single or double dash and #N/A, in any letter case.
- Per-column count, missing, unique, mean, median, quartiles, minimum, maximum and sample standard deviation.
- Minimum and maximum are found with a loop, so columns of hundreds of thousands of values are safe.
- Pearson correlation matrix of the numeric columns (the first 30 when there are more), using only rows where both values are present.
- Paged preview, 50 rows per page, with a filter and sortable headers, inside a scroll area that works on a phone.
- Chart builder: bar chart of counts, histogram and scatter plot, plus a link to Chart Maker.
- Download of the per-column summary as a CSV file.
Worked examples
The built-in sample gives city: text, 1 missing, 2 unique, top values Dhaka (2) and Delhi (2). age: number, 0 missing, 5 unique, eight-bar histogram.
The sample workbook, Sales sheet gives units: number, 1 stray value listed (TBD). date: date.
Open the Excel Data Analyzer page to see this sheet.
Privacy: how it works
- Files are read by your browser and parsed by JavaScript in a worker on this page. The contents are not sent to Ulkaa or to any other server. The Excel reader is part of this site and loads from it, not from a third party, and only when you open a workbook.
- Nothing is stored. Reloading the page clears everything. The summary CSV is created on your device when you press the download button.
Tips
- If a column you expected to be numeric shows as text, open Profile and read its stray values. A currency symbol, a decimal comma or a word is usually the cause.
- Check the missing count before looking at averages. A mean computed from only 60 percent of the rows can mislead.
- A correlation matrix only covers numeric columns. Encode a yes or no column as 1 and 0 first if you want it included.
- Quote any field that contains your delimiter, such as "1,200" in a comma file, so the row keeps its column count.
- For a very large file, open it instead of pasting it. The paste box is meant for small pastes.
- Delimiter detection looks at the first five lines. Make sure they use the same separator as the rest.
Frequently asked questions
Is it really free?
Yes. There is no price, no trial and no credit card. Ulkaa Tool does the work with your own device, so there is no server bill to pass on to you.
Do I need an account?
No. There is no sign-up and no login. Open the page and use it. An Ulkaa account is not needed for anything on this tool.
Does it run in my browser?
Yes. Your data are processed by code running in your browser tab, on your own device.
Is my data uploaded?
No. Your data are never sent to Ulkaa or to anyone else. You can check this yourself by watching the Network tab in your browser developer tools while you use the tool.
What is data profiling?
It is the first look at a dataset: the type, completeness, number of distinct values and distribution of each column, done before analysis or modelling.
How are column types decided?
A column is a number if at least 95 percent of its non-missing cells are numeric, a date if at least 95 percent look like dates, empty if everything is missing, and text otherwise. The cells that did not fit are listed as stray values.
Does it find duplicate rows or outliers?
No. It reports types, missing values, unique counts, distributions and stray values. For a per-column minimum, maximum and quartiles, see the Summary tab and the downloadable summary CSV.
More CSV, Excel and Data Analyzer pages
- CSV, Excel and Data AnalyzerOpen a CSV, TSV or Excel file, or paste text, and profile every column: types, missing values, statistics, charts and correlations.
- CSV Analyzer OnlinePer-column statistics for a CSV file, in the Summary view.
- CSV Viewer OnlineLook at your CSV as a table, with a filter box and sortable columns.
- Excel Data AnalyzerOpen an Excel workbook, pick a sheet and get column statistics.
- Excel Viewer OnlineOpen an Excel file, choose a sheet and read it as a table.
- Correlation Matrix OnlineA Pearson correlation matrix of every numeric column in your data.