gapminder.qmd

---
title: "Worldwide Development"
author: "Gapminder Analytics"
format: dashboard
---

```{python}
import plotly.express as px
df = px.data.gapminder()
df = df[df['continent'] != 'Oceania']
```

# Indicators

## Row {height=60%}

```{python}
#| title: GDP and Life Expectancy 
px.scatter(
  df, x="gdpPercap", y="lifeExp", 
  animation_frame="year", animation_group="country",
  size="pop", color="continent", hover_name="country", 
  facet_col="continent", log_x=True, size_max=45, 
  range_x=[100,100000], range_y=[25,90]
)
```

## Row {height=40%}

```{python}
#| title: Population
px.area(df, x="year", y="pop", color="continent", line_group="country")
```


```{python}
#| title: Life Expectancy
px.line(df, x="year", y="lifeExp", color="continent", line_group="country")
```

# Data

![](gapminder.png) Learn more about the Gapminder dataset at <https://www.gapminder.org/data/documentation/>

```{python}
from itables import show
show(df, showIndex = False)
```