The dinamic report below was created in Power BI and shows informations about the food production in South America countries and its impacts between 2014 and 2018. All data were collected in dataset available in Food and Agriculture Organization of the United Nations (FAO).

The data present in dashboard are source of a database created in MySQL by me with the datasets available in the FAO website. The data corresponds to trade of agricultural products in South America, and some demographic information for each country.

To see the whole report, including the graph created in Python with Dash Package and deployed with Render, click here. 

The dashboard below was developed in Power BI, and simulates a personal finance control report. It's possible to visualize each gain and lost by hovering the cursor over the dashboard blocks. 

This dashboard involves data generated in the "MyCSV" executable program developed by me in Python language. In summary, this program is able to register informations and stores the inputs in a csv file. 

Note: All data in the dashboard below are imaginary and merely illustrative.

This is the first website I was created and it's facing for the Athletic Association of my institute. 

In addition to HTML and CSS, Google Sheets and its API were used to synchronize sheets contents with the webpage. So I created a GoogleScript to generate a json response with the contents in the Google spread sheets  and then make a fetch in JavaScript to get these informations.  

Furthermore, it was used a Instagram API to get posts uploaded in real-time and shows them in the webpage.

Click here to open the entire website in a new window.

A VBA form project created for personal management facing freelancer designer professional. In the form, it's possible to insert information about job proposals, insert the gains and expenses, and much more.
To see all files created in the project, go to the GitHub repository below.

A chart showing positions of teams in Brazilian championship by each round created in R language with libraries ggplot2 and gganimate. 

TODO app hosted in website format with localstorage functionality.