Graphext Crash Course
Updated
June 21, 2022
Become a Pro-User in less than 10 minutes, and start answering questions you didn't know you had.
1. Loading your Data
Datasets contain the raw materials for you to analyze in Graphext. They can be created from files you upload or integrations you make with APIs or databases.
2. Variable Manager and Data Table
Explore your dataset and reorganize it to make exploration easier later on.
3. Advanced Projects
A project aims to turn your data into valuable insights. When you create a project in Graphext, you choose a series of steps to process your data. Picking these steps builds an algorithm that determines how your data is transformed and represented within that project.
4. Compare
The charts represented in the Compare Panel are designed to best explain the differences and similarities in your data.
5. Correlations
Correlation charts are designed to reveal how the values belonging to one variable are associated with the importance belonging to another.
6. Plot
Plot is a space to visualize simple patterns in your data. It contains a range of standard data science chart types that you can use to visualize value distributions instantly.
7. Graph
The Graph represents your data as a network, often clustering similar data points into groups.
8. Insights Panel
The Insights panel is a space to store bite-size pieces of analysis that highlight significant patterns in your data.
Need Something Different?
We know that data isn't always clean and simple.
Have a look through these topics if you can't see what you are looking for.