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differences for PR #647
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14-looping-data-sets.md

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@@ -27,11 +27,12 @@ exercises: 10
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import pandas as pd
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for filename in ['data/gapminder_gdp_africa.csv', 'data/gapminder_gdp_asia.csv']:
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data = pd.read_csv(filename, index_col='country')
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print(filename, data.min())
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print(filename, '\n', data.min())
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```
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```output
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data/gapminder_gdp_africa.csv gdpPercap_1952 298.846212
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data/gapminder_gdp_africa.csv
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gdpPercap_1952 298.846212
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gdpPercap_1957 335.997115
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gdpPercap_1962 355.203227
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gdpPercap_1967 412.977514
@@ -40,7 +41,8 @@ gdpPercap_1997 312.188423
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gdpPercap_2002 241.165877
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gdpPercap_2007 277.551859
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dtype: float64
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data/gapminder_gdp_asia.csv gdpPercap_1952 331
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data/gapminder_gdp_asia.csv
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gdpPercap_1952 331
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gdpPercap_1957 350
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gdpPercap_1962 388
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gdpPercap_1967 349

md5sum.txt

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"episodes/11-lists.md" "ff1bb5ec301422cf8a4cad6c6429bf4f" "site/built/11-lists.md" "2023-05-02"
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"episodes/12-for-loops.md" "1da6e4e57a25f8d4fd64802c2eb682c4" "site/built/12-for-loops.md" "2023-05-02"
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"episodes/13-conditionals.md" "fe461994d104541f60dc8e37822b487c" "site/built/13-conditionals.md" "2023-05-02"
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"episodes/14-looping-data-sets.md" "e04f11544d1e5f3ca08ddcf22230a3a3" "site/built/14-looping-data-sets.md" "2023-05-02"
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"episodes/14-looping-data-sets.md" "906ff0cf1e420434dbe9c31a059fc57b" "site/built/14-looping-data-sets.md" "2023-05-19"
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"episodes/15-coffee.md" "062bae79eb17ee57f183b21658a8d813" "site/built/15-coffee.md" "2023-05-02"
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"episodes/16-writing-functions.md" "8433fd7580dad3d6f5e12c68b50e5686" "site/built/16-writing-functions.md" "2023-05-02"
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"episodes/17-scope.md" "8109afb18f278a482083d867ad80da6e" "site/built/17-scope.md" "2023-05-02"

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