I ❤ Data

All right, let's show some cool stuff here!

You will find in this repo several folders, depending on which technology is used for the analysis. In each one of them, several files will show some work I've done.

Power BI  

The intent is to share .pbix files, so you can access the whole dataset and make good use of the report/dashboard. In case some data is business sensitive I will securize it and publish just some screenshots.

Excel  

The same is true here. If possible, I will publish the .xlsx. Otherwise, just some securized screenshots.

Python  

Check my Kaggle notebooks in which I publish all my progress. For now, you will find:

1. Student Performance Analysis. In which I use Python libraries pandas and seaborn to gain insights into students performance in a series of math and language tests.
2. Bike Sales. Discovering Plotly as a great Python library to make interactive plots.
3. Accidents in UK. A test on R and its capabilities. tidyverse, dplyr and ggplot2 are super-powerful tools. Love them!
4. Employee Turnover Analysis. My first full analysis for a DataCamp Competition, truly motivating and exportable to any organization! Check it out!
5. Plotting the J-way. My first bronze medal in a Kaggle Notebook. Just storing my preferred settings for every useful plot aroud there with matplotlib, seaborn and Plotly libraries in Python.