Superficial Analysis | Analyzing Data
Analyzing and Visualizing Real-World Data

# Superficial Analysis

Welcome to the third section of the course! Here, you will use the `pandas` library to analyze data by answering specific questions.

Let's start with some basic information. We are going to analyze and visualize data on store sales. First, we need to determine how many stores we are working with. We can use the `.describe()` method of `pandas` to show the main descriptive statistics on numerical columns. Also, we can use the `.unique()` method of `pandas` to get only unique values of a certain column.

For the following question, feel free to edit the code above if necessary.

What is the number of unique stores in the `df` dataframe?

Selecione a resposta correta

Tudo estava claro?

Seção 3. Capítulo 1

Conteúdo do Curso

Analyzing and Visualizing Real-World Data

# Superficial Analysis

Welcome to the third section of the course! Here, you will use the `pandas` library to analyze data by answering specific questions.

Let's start with some basic information. We are going to analyze and visualize data on store sales. First, we need to determine how many stores we are working with. We can use the `.describe()` method of `pandas` to show the main descriptive statistics on numerical columns. Also, we can use the `.unique()` method of `pandas` to get only unique values of a certain column.

For the following question, feel free to edit the code above if necessary.

What is the number of unique stores in the `df` dataframe?

Selecione a resposta correta

Tudo estava claro?

Seção 3. Capítulo 1