July 13, 2023
How to Do Exploratory Data Analysis in Python
Python is the most popular language among data scientists for its simplicity and flexibility. Additionally, Python includes multiple libraries to deal with Exploratory Data Analysis (EDA). In this post, we'll perform exploratory data analysis on a dataset using Python code to solve each step of the exploration process.
June 15, 2023
Who to follow to stay up to date with all things data science
A Complete Guide to Remarkable Data-Driven Content: YouTubers, Streamers, Podcasts, and Newsletters You Should Check Out in 2023
June 13, 2023
Mastering a Career in Data Science: Takeaways From the 2022 Kaggle Survey
We looked at the insights from the 2022 Kaggle Survey to provide guidance for those interested in pursuing a career in data science or programming, covering topics such as job roles, programming languages, machine learning, and compensation.
June 6, 2023
Graphext raised $4.6M to create the best exploratory data analysis platform for building explainable AI models
Graphext has raised $4.6M in a seed round led by Hoxton, bringing their total seed funding to $7M, for their data exploration and predictive modeling platform that enables data scientists to explore data, create predictive models, and collaborate with the business in one place.
May 21, 2023
Exploratory Data Analysis with Graphext vs Jupyter Notebooks: A Comprehensive Guide
In the ever-evolving world of data-driven decision making, the ability to analyze and interpret data is a crucial skill. In this video, I demonstrated how Graphext, our data analysis tool, can be used for exploratory data analysis, even if you're already proficient in Python and Pandas.
February 2, 2022
Data-Driven SEO: A Keyword Optimization Guide using Web Scraping & Co-occurrence Analysis (Graphext + Deepnote + Adwords) | Graphext
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.
January 10, 2022
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.
January 5, 2022
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.
December 20, 2021
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.
December 8, 2021
What People Really Feel About Programming Languages
We collected and analyzed answers to a Twitter meme, wherein people were asked to express their relationship with programming languages.
November 24, 2021
Reverse Engineering Infamous Marketing Strategies from Innocent Drinks
Why are the social media strategies of Innocent Drinks considered as the gold standard for marketing teams the world over? We collected every tweet (10,521) posted by the communication department to deconstruct Innocent's content, style, reach and engagement with a simple topic analysis.
November 15, 2021
How Aquaservice Use Graphext To Improve Their Prediction Models
We spoke to the data science team at Aquaservice about how they used Graphext to build a clustering model to improve the way they forecast consumer demand. Their project grouped delivery routes using over 30 factors to calculate similarity and exposed patterns in the errors made by their prediction models. Models that are responsible for forecasting the number of water bottles that should be loaded into trucks for delivery across a huge number of routes across Spain.