🎉 Sentiment lab! Out now, a playground for multi-model sentiment analysis, try for free 🎉
Data Preparation & Organization
Why wrangle data for weeks when it can be automated in seconds?
AddMaple automates data structuring and cleansing because it:
- handles empty cells grouping them off, bypassing the need for placeholder values
- identifies and summarizes diverse data types: numbers, currencies, dates, text, survey questions, duration, multiple choice, multi-select, matrix, opinions, grid questions and more
- recognizes data patterns: multi-select tags, word and phrase clusters within text responses, numeric data distribution and more
- buckets numeric data into appropriate bins based on their range and distribution, while identifying and restricting the impact of outliers
- summarizes double header or matrix columns for comprehensive analysis automatically
- sorts numeric data containing text descriptions, e.g. age categories containing words such as between, younger than, less than, older than etc.
- supports CSV, Excel & SAV (SAV labels and meta data pulled in automatically)
Feature Highlights
Insights first, not last
No more upfront data wrangling before insights
In-built Calculation Engine
Raw columns to summarized tables, graphs and statistics
Fast
No other tool summarizes 600 columns with 650,000 records in 5 seconds!
Built for fast analysis of open ends
See word and phrase patterns in text and get sentiment, themes and more