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Merged
mmcky merged 1 commit into from
Aug 12, 2026
Merged

Read life-expectancy and usa-gini from data-lectures #834

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2 changes: 1 addition & 1 deletion lectures/inequality.md
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Expand Up @@ -618,7 +618,7 @@ df_income_wealth.year.describe()
[This notebook](https://github.com/QuantEcon/lecture-python-intro/tree/main/lectures/_static/lecture_specific/inequality/data.ipynb) can be used to compute this information over the full dataset.

```{code-cell} ipython3
data_url = 'https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/inequality/usa-gini-nwealth-tincome-lincome.csv'
data_url = 'https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/usa-gini-nwealth-tincome-lincome.csv'
ginis = pd.read_csv(data_url, index_col='year')
ginis.head(n=5)
```
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4 changes: 2 additions & 2 deletions lectures/simple_linear_regression.md
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Expand Up @@ -408,12 +408,12 @@ Let's consider two economic variables GDP per capita and Life Expectancy.
<iframe src="https://ourworldindata.org/grapher/life-expectancy-vs-gdp-per-capita" loading="lazy" style="width: 100%; height: 600px; border: 0px none;"></iframe>
:::

You can download {download}`a copy of the data here <https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/simple_linear_regression/life-expectancy-vs-gdp-per-capita.csv>` if you get stuck
You can download {download}`a copy of the data here <https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/life-expectancy-vs-gdp-per-capita.csv>` if you get stuck

**Q3:** Use `pandas` to import the `csv` formatted data and plot a few different countries of interest

```{code-cell} ipython3
data_url = "https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/simple_linear_regression/life-expectancy-vs-gdp-per-capita.csv"
data_url = "https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/life-expectancy-vs-gdp-per-capita.csv"
df = pd.read_csv(data_url, nrows=10)
```

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