In previous posts, we explored the core of the Project Weatherhttps://datalaria.com/apps/weather, focusing on its basic backend-frontend platform and its AI prediction capabilities. Once these points were achieved and the application was operational,...

In the first part of this serieshttps://datalaria.com/en/posts/weather-service-part-1/, we set up the backbone of our global weather service, collecting raw data using Python and GitHub Actions. Then, in Part 2https://datalaria.com/en/posts/weather-s...

In the first part of this serieshttps://datalaria.com/en/posts/weather-service-part-1/, we laid the groundwork for our global weather service. We built a Python script to fetch weather data from OpenWeatherMap, efficiently stored it in city-specific ...

As I mentioned in a previous post, one of my goals with Datalaria is to get my hands dirty with projects that allow me to learn and connect different technologies in the data world. Today, we begin a series dedicated to one of those projects: the cre...

Technology truly shines when it solves a real problem, no matter how small. A few days ago, I found myself in a situation many parents will recognize: helping my oldest son review a science lesson. The added difficulty was that the subject is bilingu...

Building on the concepts from our post on "Descriptive Statistics," we will now explore the most common charts for data visualization: "Descriptive Statistics"https://datalaria.com/en/posts/descriptive-analysis/, below, we will know the most basic wa...

As a starting point in data analysis, it is necessary to know some mathematical and statistical foundations in order to work with the information to be analyzed. Thus, we will start learning some basic concepts: Population, Samples, Individuals and...