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_episodes/04-data-types-and-format.md
@@ -15,7 +15,7 @@ objectives:
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- "Analyze datasets having missing/null values (NaN values)."
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- "Write manipulated data to a file."
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keypoints:
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- - "Pandas uses other names for data types than Python, for example: “object" for textual data."
+ - "Pandas uses other names for data types than Python, for example: `object` for textual data."
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- "A column in a DataFrame can only have one data type."
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- "The data type in a DataFrame’s single column can be checked using `dtype`."
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- "Make conscious decisions about how to manage missing data."
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