Exploratory Data Analysis and Predictive Modeling. Faster and more powerful insights with no-code.
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Make your data analysts more autonomous and less dependent on busy data scientists and data engineers. Let them explore customer data and ask ad-hoc questions independently, with the freedom and ease of a spreadsheet plus the power of a notebook.
Data to insights in just a few minutes.
Drag and drop datasets or pull data from databases & data warehouses into Graphext to begin spotting patterns. Immediately!
Graphext will automatically show you the distributions for each variable with cross-filtering and help you organize variables into groups. The Plot section will guide you to build the correct type of chart between any pair of variables. And the Graph section will allow you to explore multiple variables simultaneously using unsupervised clustering, text, or images. Graphext can also help you reshape your data with all the typical data wrangling functions and enrich the data with external sources and models.
Once you find something interesting to communicate, make a story with your data, you can save it straight from the Graphext interface and customize slides collaboratively. If someone wants to make a change to a chart, they can click play, recreate the insight and save it again.
Add data science models without writing any code.
Create and deploy powerful machine learning models on your data without writing any code. Use NLP algorithms, make predictions about values, cluster related data, and connect powerful machine learning APIs from Google or other providers.
Create associations between similar data points and visualize them in a network. Explore hidden communities and drill down into their defining features with smart filters, guidance, and highlighted variables.
Join the community and find powerful data insights with no code
Start BuildingHandle, transform and analyze any kind of data. From unstructured text bundles; to financial datasets with missing values; to datasets packed with images - links - dates, or other value types.
DISCOVER MORE
Customer Analytics
Product Analytics
Survey Analysis
Text Analysis
Finance
Marketing & Advertising
Healthcare Analytics
Location Intelligence
Sports Analysis
and much more ...
Root Cause Analysis
Customer Segmentation
Predict Churn
Lead Scoring
Pricing Optimization
Optimize Models
Social Media Analysis
SEO Optimization
Customer Feedback
NPS Analysis
The latest from the Graphext blog.
To improve our SEO, we built a data-driven method to analyze the content of top-ranking Google search results as part of a keyword optimization process. Starting with a single search term, our technique uses web scraping + NLP techniques to find specific keywords that are already proven to boost the rank of similar pages.
Youtube, Twitch and other streaming platforms are full of data professionals sharing hacks, tutorials and stories of their working life. As well as content geared towards people starting out with data analysis - like Reuven Lerner covering essential Python tips and walkthroughs - there are videos posted by data Youtubers and streamers that debate topics at the forefront of data science research - Cassie Kozyrkov for instance.
Newsletters are becoming a popular way to distil news, events and tips as the data landscape becomes busier and busier! These are the kind of emails we love to receive because they help us to stay ahead of the game ... and they are all about data. As well as data newsletters created for business analysts - The Modern Data Stack shares resources, opportunities and tools (we are very proud to have featured) - there are series geared towards data science and AI developments such as The Batch.
The world of data science podcasting has become as varied as the input parameters to a Linear Regression model. From household names like Freakonomics to less known up-and-comers like Big Data Beard, data professionals are sitting up from their computers to talk about business, the future of AI, data in the real world and much more ... if you know where to look.
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