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In viewing a Markdown table I get a garbled result:
• Consistent doubled commas should be read as a single delimiter.
• Missing data in the Favorite Color field should be substituted with the string <missing>.
• Student ages should be between 9 and 14, and all other values are considered missing data.
• Some colors are numerically coded, but should be unaliased. The mapping is:
| Number | Color | Number | Color |:------:|:---------|:------:|---------- | 1 | beige
| alabaster | 2 | eggshell | 7 | sandcastle | 3 | seafoam | 8 | chartreuse
mint | 9 | sepia | 5 | cream | 10 | lemon
Using the small test data set is a good way to test your code. But try also manually adding mo
similar, or different, problems in them, and see how well your code produces a reasonable resul
not discussed tools to accomplish this exercise yet, although you likely have used a programmin
capable of solving it. Try to solve it now, but you can come back to this after later chapters
prefer.
Tables rendered as Pandas DataFrame outputs look very nice in the same notebook. The example I tried is:
In viewing a Markdown table I get a garbled result:
Tables rendered as Pandas DataFrame outputs look very nice in the same notebook. The example I tried is:
https://github.com/PacktPublishing/Cleaning-Data-for-Effective-Data-Science/blob/main/00-Preface.ipynb
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