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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

Does Temperature Affect?

As we saw in the previous chapter, the majority of the points lay uniformly, unlike several points on the top left part (high income, but low temperature). Let's find out what these points are.

Tarefa

  1. Filter the data in the df DataFrame, so that the following conditions are satisfied:
    • 'Store' must be one of the values in thetop_stores list;
    • 'Temperature' must be greater than or equal to -10;
    • 'Temperature' must be less than or equal to 10;
    • 'Weekly_Sales' must be greater than or equal to 3000000;
    • Save the obtained result within the data variable.
  2. Initialize a scatter plot with 'Temperature' values on the x-axis, and 'Weekly_Sales' on the y-axis, using the data DataFrame.

Tarefa

  1. Filter the data in the df DataFrame, so that the following conditions are satisfied:
    • 'Store' must be one of the values in thetop_stores list;
    • 'Temperature' must be greater than or equal to -10;
    • 'Temperature' must be less than or equal to 10;
    • 'Weekly_Sales' must be greater than or equal to 3000000;
    • Save the obtained result within the data variable.
  2. Initialize a scatter plot with 'Temperature' values on the x-axis, and 'Weekly_Sales' on the y-axis, using the data DataFrame.

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Seção 4. Capítulo 4
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Does Temperature Affect?

As we saw in the previous chapter, the majority of the points lay uniformly, unlike several points on the top left part (high income, but low temperature). Let's find out what these points are.

Tarefa

  1. Filter the data in the df DataFrame, so that the following conditions are satisfied:
    • 'Store' must be one of the values in thetop_stores list;
    • 'Temperature' must be greater than or equal to -10;
    • 'Temperature' must be less than or equal to 10;
    • 'Weekly_Sales' must be greater than or equal to 3000000;
    • Save the obtained result within the data variable.
  2. Initialize a scatter plot with 'Temperature' values on the x-axis, and 'Weekly_Sales' on the y-axis, using the data DataFrame.

Tarefa

  1. Filter the data in the df DataFrame, so that the following conditions are satisfied:
    • 'Store' must be one of the values in thetop_stores list;
    • 'Temperature' must be greater than or equal to -10;
    • 'Temperature' must be less than or equal to 10;
    • 'Weekly_Sales' must be greater than or equal to 3000000;
    • Save the obtained result within the data variable.
  2. Initialize a scatter plot with 'Temperature' values on the x-axis, and 'Weekly_Sales' on the y-axis, using the data DataFrame.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 4. Capítulo 4
toggle bottom row

Does Temperature Affect?

As we saw in the previous chapter, the majority of the points lay uniformly, unlike several points on the top left part (high income, but low temperature). Let's find out what these points are.

Tarefa

  1. Filter the data in the df DataFrame, so that the following conditions are satisfied:
    • 'Store' must be one of the values in thetop_stores list;
    • 'Temperature' must be greater than or equal to -10;
    • 'Temperature' must be less than or equal to 10;
    • 'Weekly_Sales' must be greater than or equal to 3000000;
    • Save the obtained result within the data variable.
  2. Initialize a scatter plot with 'Temperature' values on the x-axis, and 'Weekly_Sales' on the y-axis, using the data DataFrame.

Tarefa

  1. Filter the data in the df DataFrame, so that the following conditions are satisfied:
    • 'Store' must be one of the values in thetop_stores list;
    • 'Temperature' must be greater than or equal to -10;
    • 'Temperature' must be less than or equal to 10;
    • 'Weekly_Sales' must be greater than or equal to 3000000;
    • Save the obtained result within the data variable.
  2. Initialize a scatter plot with 'Temperature' values on the x-axis, and 'Weekly_Sales' on the y-axis, using the data DataFrame.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

As we saw in the previous chapter, the majority of the points lay uniformly, unlike several points on the top left part (high income, but low temperature). Let's find out what these points are.

Tarefa

  1. Filter the data in the df DataFrame, so that the following conditions are satisfied:
    • 'Store' must be one of the values in thetop_stores list;
    • 'Temperature' must be greater than or equal to -10;
    • 'Temperature' must be less than or equal to 10;
    • 'Weekly_Sales' must be greater than or equal to 3000000;
    • Save the obtained result within the data variable.
  2. Initialize a scatter plot with 'Temperature' values on the x-axis, and 'Weekly_Sales' on the y-axis, using the data DataFrame.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 4. Capítulo 4
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