August 7, 2020
Cómo el Congreso de los Diputados tuiteó durante el Estado de Alarma
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.
August 5, 2020
How US Congress Tweets in 2020
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.
July 29, 2020
Finding opportunities in Madrid's Real Estate sector
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.
July 9, 2020
Airlines, the 2008 financial crisis and the lipstick effect
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? We used Graphext to gain insight into the data and try to find an answer to these questions.
June 26, 2020
Is Mark Cuban a socialist, a communist, a globalist... or something else? How Trump supporters attack another billionaire
Mark Cuban is one of the wealthiest people in America, with an estimated net worth of $4.1 billion. He also has almost 8M followers on Twitter and everytime he tweets to support stimulus packages, talks about white privileges , endorse Joe Biden he literally gets thousands of mentions and replies calling him a communist, socialist, globalist... and many other ideological terms. Since it's impossible to process all these comments manually, he asked for a tool to analyze them. Some people mentioned Graphext in the replies to that tweet (thanks!). We though it would be an interesting opportunity to explore how Trump's supporters perceive some of the new (like Universal Basic Income) and old ideas (Stimulus packages) than a billionaire that could had run for president as a Republican defends after the COVID-19 crisis.
May 24, 2020
Las 2 Españas a Palos de Golf: quiénes y cómo son los que reparten tweets a izquierda y derecha.
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
May 10, 2020
Las cifras de muertos en España por COVID-19 en contexto.
¿Quiénes son y dónde están los excesos de muertes en España en los últimos años por edad, sexo y Comunidades Autónomas?
May 6, 2020
How to look good on video calls: analyzing 1K rated Skype & Zoom rooms. COVID-19 Voyeurism.
Collecting 1000 thounsand screenshots from video calls on TV to find patterns of what makes you look good or bad
April 16, 2020
Clustering countries by Covid-19 Mobility Trends changes
We used the Apple data to cluster with Graphext countries that are experiencing similar behaviour of changes in people walking outside: 🔴Italy, Spain and other suddenly decrease by more than 90% 🟠Nordic, Germany slowly going back to the streets. 🟢Slowly reducing to -50% since February
April 14, 2020
What people think of the most used programming languages
We collected and analyzed answers to a twitter meme where they where asked to express their relationship with programming languages. Here are the main insights that I found.
April 14, 2020
Benchmark store performance for McDonald's
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.