Welcome to my Shiny App pitch!
This app is built around the Palmer Penguins dataset.

We’ll visualize how penguin body mass varies by species and sex using interactive charts.

The app uses the palmerpenguins dataset.

library(palmerpenguins)
library(dplyr)
head(penguins)

## # A tibble: 6 × 8
##   species island    bill_length_mm bill_depth_mm flipper_length_mm body_mass_g
##   <fct>   <fct>              <dbl>         <dbl>             <int>       <int>
## 1 Adelie  Torgersen           39.1          18.7               181        3750
## 2 Adelie  Torgersen           39.5          17.4               186        3800
## 3 Adelie  Torgersen           40.3          18                 195        3250
## 4 Adelie  Torgersen           NA            NA                  NA          NA
## 5 Adelie  Torgersen           36.7          19.3               193        3450
## 6 Adelie  Torgersen           39.3          20.6               190        3650
## # ℹ 2 more variables: sex <fct>, year <int>

We focus on the body_mass_g, sex, and species variables for visual comparison.

The app includes:

• Input: variable selection (e.g., body mass, flipper length)
• Subsetting by sex or species
• Output: Plotly histogram of selected variable

names(penguins)

## [1] "species"           "island"            "bill_length_mm"   
## [4] "bill_depth_mm"     "flipper_length_mm" "body_mass_g"      
## [7] "sex"               "year"

User input dynamically updates the histogram grouping and display.

Here’s a preview of the interactive Plotly histogram grouped by sex:

library(plotly)

## Warning: package 'plotly' was built under R version 4.4.3

## Warning: package 'ggplot2' was built under R version 4.4.3

penguins %>%
  filter(!is.na(sex), !is.na(body_mass_g)) %>%
  plot_ly(
    x = ~body_mass_g,
    color = ~sex,
    type = "histogram",
    nbinsx = 25
  ) %>%
  layout(title = "Distribution of Penguin Body Mass by Sex")

✅ Built using Shiny + Plotly
✅ Dataset: palmerpenguins
✅ Hosted via RStudio’s Shiny Server

The source code and app are shared on GitHub as required.
Thank you for reviewing my submission!