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Featured

May 23, 2023
Short Studies

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.

Victoriano Izquierdo
Victoriano Izquierdo
Short Studies
Our InvestigationsShort StudiesCustomer StoriesData NewsEverything

Latest Posts

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.
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.

Victoriano Izquierdo
Short Studies
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.
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.

Andy Clarke
Our Investigations
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 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.

Victoriano Izquierdo
Data News
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.
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.

Victoriano Izquierdo
Data News
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 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.

Victoriano Izquierdo
Data News
We collected and analyzed answers to a Twitter meme, wherein people were asked to express their relationship with programming languages.
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.

Victoriano Izquierdo
Our Investigations
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 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.

Andy Clarke
Our Investigations
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.
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.

Customer Stories
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 ...
November 11, 2021

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 ...

Alex Gonzalez
Data News
Customer segmentation involves splitting a customer base into distinct groups. These customer segments are defined by specific and shared characteristics, behaviours or preferences that help businesses to spot patterns and associate customers with one another. This article walks through the steps involved in a simple customer segmentation analysis. Using sales data from a delicatessen, we'll segment customers according to their buying preferences and behaviour. To achieve this, we'll use a powerful machine learning technique known as clustering. 
October 26, 2021

How to Perform Simple & Effective Customer Segmentation | A Walkthrough with Data from a Delicatessen (Dataset interactive)

Customer segmentation involves splitting a customer base into distinct groups. These customer segments are defined by specific and shared characteristics, behaviours or preferences that help businesses to spot patterns and associate customers with one another. This article walks through the steps involved in a simple customer segmentation analysis. Using sales data from a delicatessen, we'll segment customers according to their buying preferences and behaviour. To achieve this, we'll use a powerful machine learning technique known as clustering. 

Andy Clarke
Our Investigations
What's the most important milestone in a relationship? According to data from a Stanford study, it's a day like any other that occurs somewhere between the 4th and 5th anniversary of a relationship. 
October 19, 2021

Make or Break: After 5 Years ... Couples are Less Likely to Break Up

What's the most important milestone in a relationship? According to data from a Stanford study, it's a day like any other that occurs somewhere between the 4th and 5th anniversary of a relationship. 

Victoriano Izquierdo
Short Studies
We used sentiment analysis to model 5100 Billboard chart-toppers between 1964 and 2015. Our analysis predicted whether song lyrics were positive, negative or neutral as well as detecting the topic and intent behind the most popular tunes in music history.
September 10, 2021

Sentiment Analysis & Billboard Top 100: The Changing Mood of Popular Music

We used sentiment analysis to model 5100 Billboard chart-toppers between 1964 and 2015. Our analysis predicted whether song lyrics were positive, negative or neutral as well as detecting the topic and intent behind the most popular tunes in music history.

Andy Clarke
Our Investigations