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Graphext

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The fastest visual analytics tool. Answer questions at the speed of thought.

What is Graphext?

Get to know the tool with a practical example

Graphext 101

Import data files

Import and export from and to the most popular data sources

Import from Integrations

Setting up Graphext to update your data on a periodic basis

Update your data recurrently

Export your data

Overview

Rediscover data exploration interactively

Advanced data selection

Significant Variables

Segments

Explore your data in a massively parallel way

The Compare tab

Find out not only what, but why something happens

The Correlations tab

Choosing a chart

Customizing Charts

Line Chart

Area Chart

Bar Chart

Scatter Plot

Box Plot

Heatmap

Exporting charts

Essential tooling to move through Graphext

Get a quick overview of how much data you are missing

Dealing with nulls

Finding data

Enhance your data easily and conveniently

Adjust the influence of individuals in your survey using a variable with predefined weights to scale your survey data.

Upsample Survey Data

Fill Missing Values

Predict Missing Values

Group together similarly written words that may be spelled inconsistently

Group Similar Spellings

Group together words with similar meanings

Group Similar Semantics

Use the first names of people to make predictions about their gender

Infer Gender

Group texts that refer to the same places

Standardize Locations

Use coordinates to enrich your data with the Spanish census information

Add Demographic Data for Spain using coordinates

Take snapshots of your data for later inspection

Saving insights in a project

Export plots & charts

Package and share your analysis in an interactive environment

Sharing an interactive project

Manage your account preferences and much more

Account Settings

Collaborate with your team mates and organize your projects in an efficient way

Manage teams

Understand what projects are and how to handle them

Manage projects

End to end guides to help you get the maximum value from Graphext

Tutorial Gallery

The recipe is the backbone of any Graphext proyect

Recipe

Transform and enrich your data easily and conveniently

Wizard

Steps are functions used in the context of the recipe

Steps

Significant variables

Cross Filters

Insights

Graphs and layouts

Graphs and data types

Model training and evaluation

Advanced Filter Queries

The FAQs about Graphext and your first steps into the platform

Intro to Graphext

The FAQs about the supported integrations with data warehouses, APIs connections or supported type of files.

Data Sources

The FAQs about Graphext's features, types of analysis and limitations

Features

The FAQs about Graphext's engine, capacity and limits.

Performance

The FAQs about Graphext pricing, free plan, enterprise options, etc.

Pricing and Plans

The FAQs about Graphext's privacy policies, GDPR, single-tenant options, etc

Security & Privacy

The FAQs about Graphext's customer support, professional services and trainnings

Step	Fast	Description
embed_dataset		Reduce the dataset to an n-dimensional numeric vector embedding
embed_images		Embed images using pretrained DL models
embed_items		Trains an item2vec model on provided lists of items (or sentences of words, etc.)
embed_sessions		Trains an item2vec model on provided lists of items
embed_text		Parse and calculate a (word-averaged) embedding vector for each text
embed_text_with_model		Use language models to calulate an embedding for each text in provided column
embed_with_trees		Reduce the dataset to an n-dimensional numeric vector embedding using a Forest model’s tree indices
layout_dataset		Reduce the dataset to 2 dimensions that can be mapped to x/y node positions
vectorize_dataset		Create a vectorized (numeric) dataset, (optionally) of reduced dimensionality

Getting Started

Prepare

Analyse

Report

Aggregate

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