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Analyzing and Visualizing Real-World Data

Replacing Characters

Just as we removed characters, there are also two ways to perform replacements: either by using the .str accessor or by using a lambda function. Since we are only performing the replacement for one column, let's use the first approach.

Task

  1. Replace the commas with dots in the 'CPI' column. Follow these steps:
    • Select the 'CPI' column;
    • Use the .str accessor;
    • Replace the ',' symbols with '.' using the .replace() method;
    • Convert the values to float type;
    • Assign the obtained result to the 'CPI' column.
  2. Display the first row of the df dataframe and data types of the df dataframe.

Everything was clear?

Section 1. Chapter 7
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course content

Course Content

Analyzing and Visualizing Real-World Data

Analyzing and Visualizing Real-World Data

1. Preprocessing Data: Part I

Loading the DataData TypesColumns OverviewRemoving Characters: Method 1Removing Characters: Method 2Checking ColumnsReplacing Characters

2. Preprocessing Data: Part II

Analyzing ColumnsRemoving and ReplacingProcessing DatesWrong Convertation?Proper ConvertingThat's All?

3. Analyzing Data

Superficial AnalysisThe Most Profitable StoreDate RangeHow Periodic the Data is?The Most Profitable PeriodsThe Best CombinationHolidays EffectWhat Holidays are we Considering?The Most Profitable Holiday

4. Visualizing Data

First Look at the DataComparing DynamicsFinding RelationDoes Temperature Affect?Or is it Holiday Effect?Comparing ShopsAdding Holidays to Comparison

Replacing Characters

Just as we removed characters, there are also two ways to perform replacements: either by using the .str accessor or by using a lambda function. Since we are only performing the replacement for one column, let's use the first approach.

Task

  1. Replace the commas with dots in the 'CPI' column. Follow these steps:
    • Select the 'CPI' column;
    • Use the .str accessor;
    • Replace the ',' symbols with '.' using the .replace() method;
    • Convert the values to float type;
    • Assign the obtained result to the 'CPI' column.
  2. Display the first row of the df dataframe and data types of the df dataframe.

Everything was clear?

Section 1. Chapter 7
toggle bottom row
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