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2) CSV, JSON works fine if your dataset is just a few numbers and strings. GitHub will preview csv files as HTML tables.
3) If you need the efficiency of binary data and more robust data containers I would look into - Parquet https://parquet.apache.org/documentation/latest/ and - Arvo http://avro.apache.org/ http://blog.cloudera.com/blog/2009/11/avro-a-new-format-for-...
4) DataScientists work with R/Pandas "DataFrames". If you are familiar with either one, import the data into a data frame and use an export method to do the serialization for you: https://pandas.pydata.org/pandas-docs/stable/api.html#id12
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2) CSV, JSON works fine if your dataset is just a few numbers and strings. GitHub will preview csv files as HTML tables.
3) If you need the efficiency of binary data and more robust data containers I would look into - Parquet https://parquet.apache.org/documentation/latest/ and - Arvo http://avro.apache.org/ http://blog.cloudera.com/blog/2009/11/avro-a-new-format-for-...
4) DataScientists work with R/Pandas "DataFrames". If you are familiar with either one, import the data into a data frame and use an export method to do the serialization for you: https://pandas.pydata.org/pandas-docs/stable/api.html#id12