BW #66: Pittsburgh
Get better with: CSV files, dates and times, plotting, pivot tables, and the "where" method
2 min read
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datetime
Pandas offers a wide set of functionality having to do with dates and times, from extracting values to calculating the differences between dates, to time series, to resampling.
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BW #65: Microplastics (solution)
Get better with: CSV files, dates and times, plotting, grouping, and string operations
13 min read
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BW #65: Microplastics
Get better with: CSV files, dates and times, plotting, grouping, and string operations
3 min read
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BW #63: Ukraine aid (solution)
Get better at: Excel, cleaning, string manipulation, grouping, regular expressions, pivot tables, dates and times, plotting, and window functions.
14 min read
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BW #63: Ukraine aid
Get better at: Excel, cleaning, string manipulation, grouping, regular expressions, pivot tables, dates and times, plotting, and window functions.
3 min read
paid
BW #61: Solar eclipse (solution)
Get better at: JSON, cleaning data, dates and times, missing values, and plotting
15 min read
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BW #61: Solar eclipse
Get better at: JSON, cleaning data, dates and times, missing values, and plotting
2 min read
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BW #59: Long covid (solution)
Get better at: CSV, dates and times, multi-indexes, plotting, filtering, and grouping
9 min read
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BW #59: Long covid
Get better at: CSV, dates and times, multi-indexes, plotting, filtering, and grouping
3 min read
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BW #52: Border encounters (solution)
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
14 min read
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BW #52: Border encounters
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
3 min read
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BW #50: Red Sea shipping (solution)
Get better at: CSV, multiple files, filtering, regular expressions, dates and times, window functions
14 min read
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