DataViz

We built, with Power BI and a Figma template, a set of visualizations that quantify and compare the carbon footprint of mobility (air, car, bus, bike) and energy use (electricity, gas) across three French cities: Nantes, Rennes, and Niort. This post documents the data pipeline, modeling, UI choices, and the main findings so others can …

The Latin America and Caribbean (LAC) region is at the epicenter of an accelerated digital transformation, but also of a growing risk: Over the past 10 years, LAC has seen an exponential increase in cyber incidents. Based on documented event records, we can build a clearer picture of who is attacking, whom, why, and how …

Nantes, a city known for its rich history and vibrant culture, is also home to an impressive botanical collection that deserves our attention. Recently, we had the opportunity to analyze a dataset that captures the plant diversity of this beautiful city. From the geographic distribution of species to the richness of botanical families, the results …

Can you imagine having a space superhero watching over our forests and oceans? Well, such a superhero already exists: it’s called Lemu NGE, the first Chilean satellite dedicated exclusively to studying the biodiversity of our planet, and best of all, we can follow its adventures and analyze its data from the comfort of our own …

Recently, I participated in a job interview to join the Dataviz – BI team of a large company. During the conversation, I was asked the use case of how they would operate the data of the operation of a restaurant, how to structure, analyze and visualize them. I think my solution was too practical and …

Hello! I share with you this personal journey, as a fan of a great League of Legends (LoL) player called IM ONI, and how through the data that the game offers I have slowly managed to advance in my professional reconversion towards Data Science and Data Engineering. In this post, I will take you through …

Through the Air Pays de la Loire platform, we will explore air quality to understand the complexities of the pollution problem: identifying critical areas and correlating levels with specific human activities during 2023. We will make a detailed analysis of pollutant concentration data recorded at filtered measurement stations in Loire-Atlantique. From nitrogen dioxide to PM2.5 …

In this exploratory data analysis, we examined the data.nantesmetropole.fr database containing information on cycling facilities in the city of Nantes. We used Python and Plotly libraries to visualize and present the results. In 2020/2021, a new comprehensive inventory of cycling facilities in the territory of Nantes Métropole was carried out. This inventory induces changes in …

In recent years, the choice of genderless names has become increasingly common in different cultures. These names make it possible to challenge traditional conventions and promote gender equality. In this publication, we will explore the genderless names used in births in the city of Nantes, France, from 2001 to 2022. We will analyze a database …

OSMnx is an incredible Python library that allows us to analyze and visualize urban networks using OpenStreetMap data. In this case, we will use OSMnx to explore the pedestrian, road, and bike networks in the beautiful city of Nantes. Here is the code we will use to obtain and visualize these networks: This code uses …