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 get acquainted with the pandas
library and explore datasets.
We will learn the main functions needed to work with the data:
- Reading files and creating DataFrames
- Describing data functions
- Sorting data function
max()
,min()
,mean()
,median()
- Grouping function
.pivot_tables()
.loc()
And after learning these functions, we will also learn how to visualize analytics things!
In this section, we will work with the application subscription data. Please, study the data.
Column name | Data type | About |
---|---|---|
user_id | int | User unique number |
plan | str | The type of the subscription |
price | int | The cost of the subscription |
trial | bool | If the plan is trial or not |
Tudo estava claro?
Obrigado pelo seu feedback!
Seção 3. Capítulo 1