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Graphext for Exploratory Data Analysis Cycle

Incredibly Fast Root Cause Analysis

Exploratory Data Analysis

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.

Power, Guidance, Speed, Templates, Reproducibility & Automation

How Does Graphext Work?

Data to insights in just a few minutes.

01.

Bring Data From Anywhere

Drag and drop datasets or pull data from databases & data warehouses into Graphext to begin spotting patterns. Immediately!

02.

Explore Your Data

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.

03.

Save Insights

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.

Beyond Descriptive Analytics

From Exploration to Prediction

Add data science models without writing any code.

04.

Create ML Models

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.

05.

Explainable Models

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.

No Code Analytics

Data Science for Everyone.

Join the community and find powerful data insights with no code

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The Adaptable Data Analytics Solution

What Can Graphext Do For Your Business?

Handle, 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

Analysis, News, Methods

Studies Worth Sharing.

The latest from the Graphext blog.

Data-Driven SEO: A Keyword Optimization Guide using Web Scraping & Co-occurrence Analysis (Graphext + Deepnote + Adwords)

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.

Read More.

22 Data YouTubers + Streamers to Watch in 2022

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.

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19 Data Newsletters to Read in 2022

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.

Read More.

36 Data Podcasts to Follow in 2022

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.

Read More.

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