How thoughtful color choices became the secret weapon of Graphext: from dark modes that save your eyes to color palettes that make complex data click

Advanced analytics enables users to find the most protein-rich, low-calorie, and healthy foods at Mercadona, supporting muscle growth and overall health.

Using Graphext to predict potential customers through lead scoring by selecting the right variables and focusing on engagement with the tool in the near future.

The Graphext Notion integration allows teams to generate performance reports, user segmentation reports, and analyze user interviews using their Notion database.

Many people are saying that ChatGPT is going to replace all data analysts and data scientists. Well, that might never happen… Humans bring contextual understanding, identify emerging trends, and build trust in the data analysis process.

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A Complete Guide to Remarkable Data-Driven Content: YouTubers, Streamers, Podcasts, and Newsletters You Should Check Out in 2023

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.

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.

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

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.

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 ...

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.

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.

El pasado 15 de julio estuvimos en directo con Juan Palacios, CEO y fundador de D'Anchiano. Juan nos contó en detalle el uso que le da a Graphext para procesos de selección, así como una mayor visibilidad de qué utilidad tiene Graphext y el análisis de datos en RRHH y detección de talento.

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.

How can we use text analysis of data from Twitter to improve our understanding of markets? This is the question prompting Paul, a strategist in our business team, to scrape tweets about Lloyds bank and conduct a Twitter topic analysis using advanced NLP and network creation. First, he collected tweets using Tractor, Graphext's scraping tool for social media analysis. Then, he analyzed the topics of tweets using network analysis. Here's how he did it ...

Market segmentation means splitting your customer base into distinct communities based on the similarity of their features. Depending on the data you use to segment customers, clustering a market dataset results in the grouping of customers based on geographic, demographic, behavioural and psychographic factors as well as their buying preferences.

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.

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

Modelling data from the Vaccine Adverse Event Reporting System (VAERS) - a US government-sponsored vaccine reaction monitoring service - our team set out to investigate reports of adverse health effects related to the seismic rollout of the COVID-19 vaccination programme in the USA.

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.

Attempting to discover the most influential features of a loan application when considering risk, our team built a model using the features of a loan application to predict whether an applicant would have a good or bad risk rating.

Our team analyzed 7043 current and former customers of a telecoms provider in order to better understand what types of people are most likely to cancel their contracts.

To showcase how a company could reduce employee turnover, our team clustered a dataset containing information about IBM employees to discover the reasons why employees left their jobs.

Working at the intersection of data science and finance, Menhir is using Graphext to understand the composition of financial portfolios, performing analysis that typically takes analysts between two and three weeks in just two days.

Our team set out to build an exceptional football team for less than 100M Euros. Using data provided in the FIFA 2020/2021 dataset - the video game - we built a prediction model in order to find the key performance attributes for each position. Then, we used this to pick out a team of excellent but undervalued players.

Why do people act the way they do? Why do they buy products, quit their jobs, or change partners? Many of these motives are people's behaviors and some can be found in data.

We built a model clustering 233 Superbowl ads using data from FiveThirtyEight in order to work out what content brands use to sell their products during America's most-watched sporting event.

Julián Yunez, a political communications consultant, used Graphext to investigate how messages related to public health and economics have been balanced by Latin American leaders during the pandemic.

Exploring how Graphext's data-driven approach might be used to identify the characteristics of successful salespeople.

Motivated by the prospect of getting to know our new colleagues, our design team created a team-building session that negotiated the limitations brought by the pandemic.

2020 has been a turbulent year for every country but particularly in the USA. We clustered American protest events between May 24 - Nov 28, 2020 to investigate the relationships between types of protests, their violence and their geography.

Hoy publicamos en El País 3 grafos que representan 3 mapas de cómo están conectados en redes sociales los periodistas políticos, los diputados y las cuentas de Twitter políticas más relevantes en España.

En este proyecto nos planteamos analizar cuál es el rol que están asumiendo los medios de comunicación en la difusión del desarrollo sostenible y comprender el nivel de sensibilización y concienciación sobre la importancia respecto a la Agenda 2030.

What are unexpected insights and surprising patterns of the social media strategies of Inditex’s flagship Zara and Gap? In this article, we analyzed their Instagram campaigns since Feb 2017.

Los obreros no cualificados y cualificados tienen un 36% y 16% más de posibilidades de decir que el número de inmigrantes es excesivo, analizamos qué otras variables pueda explicar en por qué tienen esa percepción sobre la población inmigrante en España.

Prácticamente todos los diputados del Congreso actual, la XIV legislatura, tienen cuenta en Twitter y gran parte de su trabajo consiste en leer y escribir tweets. Para bien o para mal, los políticos nunca han tenido más poder y facilidad para mandar directamente sus mensajes a los ciudadnos sin el filtro de la prensa. Analizamos las principales narrativas que cada partido movió.

We analyzed almost 200K tweets from members of Congress, comparing across parties and seeing what worked for each one. We found interesting insights by analyzing the way each party worded their opinions.

We analyzed more than 20k advertisements in real estate websites to try to find underpriced houses with Graphext's predictive algorithms. Along the way we looked into the relationships between prices and factors such as education level or location index to try to find insights and patterns in the data.

We analyzed 30K airlines services reviews and saw that there are clear jumps in ratings marked by the 2008 financial crisis and subsequent economic recovery. Could these factors have impacted consumers, or have airlines improved their services?

Mark Cuban is one of the wealthiest people in America, with an estimated net worth of $4.1 billion. He asked for a tool to work out why his Twitter supporters were calling him a socialist, a communist and a globalist - and to analyze whether their accusations were true!

La semana pasada, millones de personas en España acabaron imaginando en su cabeza algo que realmente nunca pasó: a un señor rico del barrio de Salamanca destrozando mobilario urbano con un palo de golf. Analizamos con datos y Graphext cómo se originó este bulo, y sobre todo quién hay detrás a izquierda y derecha propagando estas nuevas narrativas políticas

¿Quiénes son y dónde están los excesos de muertes en España en los últimos años por edad, sexo y Comunidades Autónomas?

How do you look your best in a video call? Collecting almost 1000 reviews of video call backgrounds, we set out to find patterns in what makes people give off good or bad impressions.

We used the Apple Mobility Trends Report to cluster with Graphext countries that are experiencing similar changes in people's walking behaviour.

Grabbing data from a Stanford University study on relationships, we set out to investigate what a 'happy' relationship looks like and how you find one.

Many companies use Twitter in a traditional way: as promotion, presenting new features. But over 50% of all Tweets have another motivation.

Using Graphext, we helped McDonald’s to categorize their more than 500 spanish stores based on their typical customer profiles, to later analyze their sales transaction data.

Is healthy food only about being vegan and following diets or is the community mentioning more narratives around that topic? We analyze 30k tweets to find out.

With Graphext we analyzed the vehicle distribution data (from Kaggle) of a bike sharing service based in Minnesota to try to understand bike shortage in Madrid

Postureo en traje estrechando manos, Baños de masas y selfies, Memes y de relax en la naturaleza. Analizamos las fotos de los 10 políticos españoles más seguidos en Instagram

A picture of a population is what most surveys hope to achieve. Who doesn't want to know which essential Tinder personality traits help a person to be successful in love? We're taking a look at the fundamentals of survey theory - sampling & weighting - through the lens of a Pew Research survey that examines American attitudes towards relationships and dating apps in 2021.

We recently worked with the United Nations to understand the importance of Blockchain and other emerging technologies in the field of international development.

Opinion Poll Company Aquienvoto & Graphext teamed up to look behind the curtains of April 28th’s result. Join us as we analyze how people responded to 45 different questions.

In this post we will identify and analyze the topics that interest the community of VCs in the US. To accomplish this we will use Graphext and Contexto.

Can data tell us who can replace Ronaldo in Real Madrid? Are there any similar players to Cristiano according to data? We analyze 18000 players to find out

We collected every tweet in 2020 from 38 UK news organisations to find out what the media have been reporting on. Then we visualised categories of tweets as trends to see what the British media landscape looked like throughout the year.

As a product evolves, the brand around it evolves too. Here we take you through the design process of finding a new logo for our business, following the experiments carried out by the Graphext design team.

Working with data from ING, we created a network visualization of how users navigate hundreds of web pages, correlating their navigation patterns with specific user profiles.

Surveys are an easy way to gather people’s opinion or behaviour, but the challenge has always been once you have all the data, what do you do with it?

In 2017, we analized the Spanish political community and how are they related with the most important media based on how their interactions from their twitter account.

During 2017 we were monitoring all the conversations on Twitter about and around Campus Madrid. This is the network of 4838 people who participated in the conversation.

If you want to succeed with your product in the market you have to listen to what your customers say. Take a look to this post to see how to achieve this with Graphext.