What files can it read?

CSV files and Excel workbooks. For a workbook with several sheets, name the sheet you want it to profile.

What is in the column profile?

The row and column counts, duplicate rows, and for each column its type, how many values are missing, and how many are unique. Numeric columns get the mean, standard deviation, minimum, quartiles, and maximum; text columns get their five most common values and average length.

What does the quality check look for?

Missing values in each column, rated low, medium, or high by the share missing (over 10 percent is medium, over half is high), duplicate rows, columns with a single value, and outliers found with the interquartile range method.

How is this different from AI Marketing Analytics?

Marketing analytics is built for campaign and funnel numbers and returns metrics such as CAC and ROAS. The data analyst works on any table and tells you what is in it, what is wrong with it, and which columns move together.

It does not connect to databases or BI tools; it works on the files you upload. A correlation shows that two columns move together, not that one causes the other.

AI Data Analyst

Upload a CSV or Excel file. Get a profile of every column, a data quality report, and the strongest correlations, explained in the chat.

Explore

file:

Tap a field to fill it in

Nothing sends until you start, and you can change anything afterwards.

What you get

Text in the chatCopy it wherever you need it. Keep chatting to adjust the tone, length, or wording.

How it works

Upload a CSV or Excel file, name the sheet if the workbook has several, and say what you want to learn from it.
askROI's Data exploration tool runs analysis code on the file: a profile of every column, a data quality check, and a correlation matrix with a heatmap image, then explains what it found in plain language.
Keep chatting to dig into one column, clean the data, or chart a relationship it found.

What people use it for

First look at a new datasetlearn what is in a file before you build anything on it.
Data cleanupfind missing values, duplicate rows, constant columns, and outliers to fix.
Finding relationshipssee which numeric columns move together, and how strongly.
Before reportingcatch the problems that would make a chart or dashboard misleading.

Questions

What files can it read?: CSV files and Excel workbooks. For a workbook with several sheets, name the sheet you want it to profile.
What is in the column profile?: The row and column counts, duplicate rows, and for each column its type, how many values are missing, and how many are unique. Numeric columns get the mean, standard deviation, minimum, quartiles, and maximum; text columns get their five most common values and average length.
What does the quality check look for?: Missing values in each column, rated low, medium, or high by the share missing (over 10 percent is medium, over half is high), duplicate rows, columns with a single value, and outliers found with the interquartile range method.
How is this different from AI Marketing Analytics?: Marketing analytics is built for campaign and funnel numbers and returns metrics such as CAC and ROAS. The data analyst works on any table and tells you what is in it, what is wrong with it, and which columns move together.
What does it not do?: It does not connect to databases or BI tools; it works on the files you upload. A correlation shows that two columns move together, not that one causes the other.