How-to guides
Learn how to use AddMaple with our how-to guides and frequently asked questions. If you can't find the answer you need please contact us.
How To
Instant Automatic Data Analysis
From detecting data types, to automatic binning, we explain the features that make AddMaple fast and easy to use
How To
How to explore Pew Research data
in your browser, without SPSS
How To
Open .sav files without spss
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 analyse .sav files in the cloud without SPSS.
How To
How to analyze a survey
Generate interactive graphs from your raw survey data and embed them in a report
FAQ
Which column types are detected?
AddMaple detects many different column types automatically including numbers, currency, dates, categories, etc.
How To
Filter your data
AddMaple supports powerful instant filters that are applied across your entire dataset. Filters can be applied directly from charts.
How To
Share a chart
How to share an embeddable chart from AddMaple
How To
How to pivot your data
AddMaple makes it simple and intuitive to pivot your data. We help you cross-tabulate, pivot and aggregate your data without any complicated settings.
How To
Make your data explorable
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.
FAQ
How does AddMaple work without uploading data?
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.
How To
Analyze SAV or SPSS files
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.
How To
Create a shareable report
No more pasting charts into powerpoint, AddMaple makes it easy to create a beautiful, responsive report that you can share with colleagues (or the world)
FAQ
Why do you use horizontal bar charts
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.
Getting Started
Analyse Your Data From A File
AddMaple automatically analyses your data from a file and generates charts for you.
FAQ
What is the largest file I can analyse?
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...

Updated on 27/09/2023