How-to guides

These are run automatically when pivoting by 2 numeric columns. Pearson’s correlation is applied if the data is normally distributed, while Spearman’s correlation is used if the data is not normally distributed. These tests measure the strength and direction of the relationship between the two numerical variables.

When you pivot by a categorical column and a numeric column, and the categorical column contains 2 or more categories with less than 4 results, AddMaple will use the Kruskal-Wallis test rather than ANOVA.

Find out how to use AddMaple's stats engine and how it works

AddMaple analyses your data in your browser without uploading it to the cloud. We use modern web APIs to read and process your files all within your browser.

AddMaple supports the following aggregation functions:

AddMaple automatically calculates appropriate "bins" or groups for numeric and date data. These are re-calculated automatically based on your dataset and the filters you have applied.

AddMaple allows you to create new columns with custom "segments". These segments can be as simple or as complex as you need. You can create fine-grained personas from multiple filters or just create a simple single filter segment.

AddMaple performs a 2-sided T-Test automatically when you pivot by a numeric column and a categorical column with only 2 categories. If you want to run a T-Test on a column with more than 2 categories, you first need to filter down to only look at 2 categories.

AddMaple will automatically run an ANOVA test when you pivot by a categorical column and a numeric column.

AddMaple runs chi-square tests for you automatically to determine whether there is a significant relationship between two categorical columns and the strength of that relationship.

AddMaple allows you to edit and refine your themes or categories iteratively. You can use Gen AI to suggest codes for you or you can add codes yourself. 


When you expand a opinion scale column it will be displayed as a standard AddMaple bar chart.

Where AddMaple detects multiple opinion scale columns next to each other we group them together.

If AddMaple detects columns that are significantly related to your selected column they will show up in the Stats tab:

Learn how we use OpenAI, but how your data is not stored or used for training new models.

When viewing a text column, you will see a button: Get AI Summary

While viewing any chart in AddMaple, whether a single or multiple pivot, you can get an AI powered explanation.

AddMaple makes it simple and intuitive to pivot your data. We help you cross-tabulate, pivot and aggregate your data without any complicated settings.

Discover how to open .sav files without SPSS. We show you how to convert .sav files to excel or .csv, as well as how you can instantly explore and analyze .sav files in the cloud without SPSS.

This is done via the multi select box in the sentence builder.

All columns in the table view are sortable. Simple click on the sort icon next to the column title. Clicking again will toggle between ascending and descending order.

To explore a single row, simply click on the row number (in the left column)

You can add a filter by clicking on the value that you would like to filter by in the table. For example when viewing an "Age" column, clicking on the "65+" value from one of the rows will filter the entire table to only show rows where the "Age" is "65+".

You can add a filter by clicking on the value for a particular column

This view allows you to see a single "row" from you data in a vertical view. This is a lot easier than a traditional spreadsheet (table) view and allows you to dive into a specific row to see the results for all columns for that row.

In row by row view you can navigate between rows through the Next and Previous buttons.

To add a chart to your report, simply navigate to the chart you want to add, click the kebab menu and click "Add To Report".

Reports are unpublished by default. To publish, simply click the "Publish" button - the url of your published report will then be made visible.

You can let viewers of your report also explore your data using AddMaples tools.

You can change the title of a column by clicking on it from the Chart Dashboard. An input box will appear where you can make your changes. Click the green tick button or press "enter" to save.

To add a filter you can either click the kebab menu (or press the / key) and select "Add Filter"

To add a pivot you can either click the kebab menu (or press the / key) and select "Add Pivot"

From detecting data types, to automatic binning, we explain the features that make AddMaple fast and easy to use

Generate interactive graphs from your raw survey data and embed them in a report

AddMaple detects many different column types automatically including numbers, currency, dates, categories, etc.

AddMaple supports powerful instant filters that are applied across your entire dataset. Filters can be applied directly from charts.

How to share an embeddable chart from AddMaple

How to let anyone explore your data using AddMaple. You can choose which columns to share and allow your colleagues or the whole world to explore your raw data.

AddMaple is one of the few cloud based software tools that can read SPSS (or SAV) data files. They have an unusual format and can't be opened by standard spreadsheets.

AddMaple is designed to work with any data source - this includes data where column names or items of data may be long, or where there are many possible values for a column.

AddMaple automatically analyses your data from a file and generates charts for you.

AddMaple can read large data files - including files that will crash a spreadsheet. On a modern computer AddMaple can easily read in data files of up to 200MB...