The Easy Way to
Your Data

Guiding you to build data science projects remarkably fast, collaboratively and without writing code.
More powerful than dashboards and more intuitive than notebooks.

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Inside Graphext.

The Graph
Compare
Trends
Details
Insights
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Connect Data.

Pull data directly from databases like PostgreSQL, MySQL, Google BigQuery and more. Integrate with Google Drive and Sheets.
Drag and drop files into your Graphext workspace to start working with datasets. We support a range of file types including CSV, JSON and SAV.
Use Tractor to create new datasets from information posted on popular platforms including Twitter and Google News.
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Build Projects.

Create and deploy powerful clustering and prediction models on your data using the guidance of our setup wizard.
Filter and sample your data directly from your Graphext workspace. Switch and control the variable types in your data.
Enrich your analysis with information from popular APIs or external sources with census, climate or socio-demographic data.
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Explore & Analyze.

Discover communities and their features using the visual representation of the Graph to explore your datasets.
Find temporal patterns in your data at a glance. Switch between chart types and detect anomalies and trends automatically.
Uncover the relevance of variables in explaining similarities and differences between segments of your data.
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Report Insights.

Capture your findings as you move through your analysis. Create reports to help tell the stories in your data.
Save and download charts, tables and insights as exportable image files.
Publish and present your Graphext project. Embed projects in any website to start sharing aspects of your analysis online.
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Resources

Using Mutual Information to Cluster Variables and Discover the Associations Between Survey Questions

Our team set out to build a type of analysis that could be used to measure the strength of association between variables in a dataset. Here's how we did it ...

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A Market Segmentation of 1000 Supermarket Customers Using Data on Sales, Income and Demographics

Our team clustered 1000 supermarket sales in order to segment customers according to their buying habits. Our market segmentation analysis uses data on the demographics, income and geography of customers to identify key buyer personas and inform marketing strategies and campaigns.

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Graphext | Graphtex | Graphnext: Grouping Similar Spellings Using Chars2Vec and Agglomerative Clustering

'España' and 'Españha' are just spelling variations. We built a way of grouping words spelt differently but referring to the same concept.

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The Method Behind Our Investigation of Reports of Adverse COVID-19 Vaccine Events

Taking on an investigation into the adverse reactions associated with the COVID-19 vaccination rollout in the USA, our team were aware of the increased need for transparency whilst conducting our analysis. This article documents the methodology behind our study of Vaccine Adverse Event Reporting System (VAERS) data.

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A digest of our blog data analysis, product updates and company news
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