Portfolio

During all these years adventuring with data, science and design, I’ve been able to turn my ideas into reality. Currently I’m looking for an opportunity to work as Data Analyst!

First of all, this entire website was made by me using R, Quarto and HTML!

Follow me on my social networks and see what I’ve been up to over the last few years!

Tutorials

Almost everything I know today about programming I learned from tutorials, so I really enjoy passing on this knowledge to people, teaching them about the process of creating charts and other tools.

ggplot2 101

Waterlines with ggplot2

Decifrando gráficos #1

Decifrando gráficos #2

R packages

One of my hobbies is creating packages in R! I’ve made new friends and greatly improved my code organization and git experience.

reservatoriosBR

Download data of Brazilian reservoirs from the SAR-ANA and ONS platforms and organizes it into a structure for use in R!

futebolplotR

The goal of futebolplotR is to provide functions and geoms that help creating visualization of Brazilian soccer related analysis.

ggimprensa

ggimprensa brings themes from the main Brazilian newspapers for ggplot2.

feowR

feowR provides a faster and secure way to download shapefiles of Freshwater Ecoregions of the World (FEOW).

See more R packages!

Scripts

I love to share my scripts, so anyone can learn the same way I did!

Here is an example

Boa constrictor 🐍

Click to view the code

# packages ----------------------------------------------------------------

library(dplyr)
library(ggplot2)
library(geomtextpath)

# data --------------------------------------------------------------------

data <- data.frame(a = c(2.8,2.8,3.8,2.9,2.8,3,4.5,5.6,5.7,4.4,5.8))

quote <- "'My drawing was not a picture of a hat. It was a picture of a <i>Boa constrictor</i> digesting an elephant.'"

# plot --------------------------------------------------------------------

data %>% 
  ggplot(aes(x = a))+
  geom_density(adjust = 1,
               fill = "#784707",
               color = "#462e0a",
               size = 3)+
  geom_textdensity(size = 5, fontface = 2, spacing = 30,
                   vjust = -0.35, hjust = 0.2,
                   label = quote,
                   color = "#462e0a",
                   rich = TRUE)+
  geom_segment(x = -2.5, xend = 12, y = 0, yend = 0,
               size = 3, color = "#462e0a",lineend = "round")+
  geom_point(x = 11.95, y = 0.002, size = 0.5)+
  annotate("text", x = 12, y = 0, label = "- The Little Prince by\nAntoine de Saint-Exupéry\nBruno Mioto - @BrunoHMioto",
           hjust = 1, vjust = 1.2, fontface = "bold",
           color = "#462e0a")+
  scale_y_continuous(expand = c(0,0))+
  scale_x_continuous(limits = c(-2.5,12))+
  theme_void()+
  theme(
    panel.background = element_rect(fill = "#f7f8f8", color = NA)
  )+
  coord_cartesian(ylim = c(-.4,0.8), xlim = c(-4,13))


ggsave("elephant.png", width = 10, height = 6)

See more Scripts!

Power BI

I made a dashboard for the 2020 Municipal Elections in my city using Power BI. (Unfortunately I no longer have the license and only have screenshots)

Datawrapper

Published charts

These are some charts published in scientific papers.

Kieling et al. (2024) - Worldwide Prevalence and Disability From Mental Disorders Across Childhood and Adolescence Evidence From the Global Burden of Disease Study — Kieling *et al*. (2024) - Worldwide Prevalence and Disability From Mental Disorders Across Childhood and Adolescence Evidence From the Global Burden of Disease Study

Nakamura et al. (preprint) - The macroecology of knowledge: Spatio-temporal patterns of name-bearing types in biodiversity science — Nakamura *et al*. (preprint) - The macroecology of knowledge: Spatio-temporal patterns of name-bearing types in biodiversity science

Martins et al. (2024) - Iterative taxonomy reveals a new species of Cambeva (Siluriformes: Trichomycteridae) with intraspecific variation from the rio Piquiri and Ivaí basin, upper rio Paraná basin, Brazil — Martins *et al*. (2024) - Iterative taxonomy reveals a new species of *Cambeva* (Siluriformes: Trichomycteridae) with intraspecific variation from the rio Piquiri and Ivaí basin, upper rio Paraná basin, Brazil

Original charts

All the following charts and maps were made entirely using ggplot2/R.
You can click on each plot to see each detail.

This is a play animation made for BigDataBowl ’24 Competition, the NFL Big Data competition!

Severance is an awesome series

Species described! 🐟

Even though it’s not data-related, I’m very proud to have described 3 species of fish (so far)! And yes, I’m “Stabile”, not “Mioto” in my scientific papers