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Please enable JavaScript in your browser settings or update your browser.Replacing Characters | Preprocessing Data: Part I
Analyzing and Visualizing Real-World Data
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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

bookReplacing 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.

Tarea
test

Swipe to show code editor

  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.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 1. Capítulo 7
toggle bottom row

bookReplacing 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.

Tarea
test

Swipe to show code editor

  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.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 1. Capítulo 7
toggle bottom row

bookReplacing 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.

Tarea
test

Swipe to show code editor

  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.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

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.

Tarea
test

Swipe to show code editor

  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.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 1. Capítulo 7
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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