Knowing your data before you get started can save hours of pain.
Learn what's lurking in that shiny new datafile, and save your time for the clever stuff...
Identify variables with missing data, a mixture of data types, or values requiring re-coding.
Instantly learn data types, distribution characteristics, string lengths and other features that will inform your analytical choices.
Find variables which benefit from transformation to a more normal shape and test which type of transformation achieves the best outcome.
View your data at the '10,000 foot level' to find out what you're dealing with.
Just click through for detailed diagnostics on any column.
It's free to get started, but for more reports and bigger upload limits please consider one of the paid packages.
Up to 2mbinput file
Save 3reports
Up to 5mbinput file
Save 6reports
Up to 15mbinput file
Save 12reports
Up to 50mbinput file
Save 30reports
It's early days here at Know thy Data. We are actively developing and welcome your suggestions on how best to help you know your data.
Below are a few features we are considering for the future. Let us know which ones you'd like to see in action, or make your own suggestions...
| Support for SPSS (.sav) format files |
| Bivariate relationships: report which variables are related to each other to a statistically significant degree (correlations etc.) |
| Changes across files: compare a new file's profile against a previous report to find out any ways in which the data have changed |
Click this icon in the lower-right corner of your screen to make suggestions, or to report a bug.
The following items are currently under development, and coming soon:
| Help page with metric definitions and an explanation of their use |
| CSV export of main column metrics |
Nobody really reads these
John Doe, johndoe.com
These are usually made up
Jane Jonsson, blog.jane.com
This product literally changed my life.
Jim Ode, johndoe.com
Get started now and run a basic report for free or check out our sample reports.
The team behind Know thy Data.
Developer.
Data scientist.
Cat.