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inflation_history: read longprices.xls and chapter_3.xlsx from data-lectures #824

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Merged
mmcky merged 4 commits into from
Aug 6, 2026
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inflation_history: read longprices.xls and chapter_3.xlsx from data-lectures #824

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inflation_history: read longprices.xls and chapter_3.xlsx from data-l…
mmcky Aug 6, 2026
82d69f2
inflation_history: repoint the "hosted on github" link too
mmcky Aug 6, 2026
b2d2985
inflation_history: capitalise GitHub in the narrative link
mmcky Aug 6, 2026
033ea1d
Keep the local copies for now: repoint first, delete after the next p…
mmcky Aug 6, 2026
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6 changes: 3 additions & 3 deletions lectures/inflation_history.md
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Expand Up @@ -83,7 +83,7 @@ Let us bring the data into pandas from a spreadsheet that is [hosted on github](

```{code-cell} ipython3
# Import data and clean up the index
data_url = "https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/datasets/longprices.xls"
data_url = "https://github.com/QuantEcon/data-lectures/raw/main/lectures/longprices.xls"
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df_fig5 = pd.read_excel(data_url,
sheet_name='all',
header=2,
Expand Down Expand Up @@ -225,7 +225,7 @@ We have added logarithms of the exchange rates vis-à-vis the US dollar to
from chapter 3 of {cite}`sargent2013rational`.

Data underlying our graphs appear in tables in an appendix to chapter 3 of {cite}`sargent2013rational`.
We have transcribed all of these data into a spreadsheet {download}`chapter_3.xlsx <https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/datasets/chapter_3.xlsx>` that we read into pandas.
We have transcribed all of these data into a spreadsheet {download}`chapter_3.xlsx <https://github.com/QuantEcon/data-lectures/raw/main/lectures/chapter_3.xlsx>` that we read into pandas.

In the code cell below we clean the data and build a `pandas.dataframe`.

Expand Down Expand Up @@ -355,7 +355,7 @@ We prepare the data for each country

```{code-cell} ipython3
# Import data
data_url = "https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/datasets/chapter_3.xlsx"
data_url = "https://github.com/QuantEcon/data-lectures/raw/main/lectures/chapter_3.xlsx"
xls = pd.ExcelFile(data_url)

# Select relevant sheets
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