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  • Introduction
  • 1: NumPy Module
  • 2: Pandas Module
    • Series Structure
    • Series Quiz
    • Colab Exercise
    • DataFrame Structure
    • File Reading & Writing
    • Summary Statistics using DataFrames
    • Additional Functions
    • DataFrame Quiz
    • Colab Exercise
  • 3: Pandas - More on Dataframes
  • 4: Matplotlib Module
  • 5: Seaborn Module
  • 6: Plotly Express Module
  • 7: GeoSpatial Modules
  • 8. Other Popular Libs
  • 9. Data Driven Stories
  • 10. Bad Visualization Example
  • 11. Glossary
  • Slides-1
  • Slides-2

In a Pandas Series, will the dtype chosen for heterogeneous data be the one that accommodates all data types?

False True Yes. For example, if the data contains a string, an int, and a float, the dtype of all elements will be `object` to support the string. If it contains floats and integers, `float` is chosen. If it contains only integers, `int` is chosen.

Exercise

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