Exploratory
Search
⌃K
Exploratory
Search
⌃K
Introduction
Product Features
Data Import
Data Wrangling
Visualization
Analytics
Correlation
Distance
K-Means Clustering
Principal Component Analysis
Factor Analysis
Linear Regression Analysis
Logistic Regression Analysis
Generalized Linear Models
Survival Curve
Cox Regression
Random Survival Forest
Decision Tree
Random Forest
XGBoost
Time Series Forecasting (Prophet)
Time Series Forecasting (ARIMA)
Time Series Clustering
Anomaly Detection
Word Count
Text Clustering with Topic Model (LDA)
Market Basket Analysis
T Test
T Test (Aggregated Data)
ANOVA
Wilcoxon Test
Kruskal-Wallis Test
Chi-Square Test
A/B Test
Normality Test
Prediction
Dictionaries for Text Analysis
Statistics
Machine Learning
Text Analysis
Extend with R
Setup
Diagnostics
Keyboard shortcuts
Powered By GitBook

Analytics

You can quickly access to the latest and greatest Machine Learning and Statistical algorithms and use them to find deeper insights from your data as part of your data exploration.
Here is a quick introduction blog post.
  • ​An Introduction to Simple Analytics UI​
Take a look at each analytics type for more details.
Previous
Number of Unique Values Check (日本語)
Next
Correlation
Last modified 2yr ago
Copy link