Conteúdo do Curso
Introduction to Python for Data Analysis
Introduction to Python for Data Analysis
2. Introduction to Python 2/2
3. Explore Dataset
Data StudyOperations with the FileHow to Explore the DataSorting DataMax, min, mean, medianChallengeGroup DataDive Deeper into Grouping DataGroup Data 2.0Introduction to NumPyPivot TablesRecall Loops.loc FunctionDeal with Several ConditionsChallengeVisualization: First StepsDive Deeper into Visualization
Data Study
In this section, we are going to practice using knowledge from previous sections.
We will find some essential product metrics that are used in Data Analysis:
- CAC
- The percentage of customers whose acquisition is more expensive than the money spent
- The percentage of the organic traffic
- How much money do we earn daily
- ROI
Before starting this section, study the data we will work with.
Column name | Data type | Description |
---|---|---|
customer_id | int | User unique number |
cost | float | How much money do we spend for the user |
money_spent | float | How much money does the user spend |
day | str | The weekday the payment was made |
holiday | bool | If the day of the payment was the holiday or not |
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Seção 4. Capítulo 1