Data visualization

Question 1

What is Seaborn?

Answer 1

A powerful and easy-to-use Python data visualization library built on Matplotlib.

Question 2

What is the typical coding environment used in this course?

Answer 2

Jupyter Notebook (or just notebooks).

Question 3

How do you import Seaborn?

Answer 3

import seaborn as sns

Question 4

How do you load a CSV file into a pandas DataFrame?

Answer 4

pd.read_csv(filepath

Question 5

What are comments in Python?

Answer 5

Lines preceded by a # symbol

Question 6

How do you view the first 5 rows of a DataFrame?

Answer 6

data.head()

Question 7

How do you create a line chart with Seaborn?

Answer 7

sns.lineplot(data=dataframe)

Question 8

What does the index_col parameter do in pd.read_csv?

Answer 8

Sets the specified column as the row index.

Question 9

How do you set the figure size in Matplotlib?

Answer 9

plt.figure(figsize=(width

Question 10

How do you add a title to a plot?

Answer 10

plt.title(“Your Title”)

Question 11

How do you plot only one column from a DataFrame?

Answer 11

sns.lineplot(data=dataframe[“ColumnName”])

Question 12

How do you create a bar chart in Seaborn?

Answer 12

sns.barplot(x=x_data

Question 13

How do you create a heatmap in Seaborn?

Answer 13

sns.heatmap(data=dataframe

Question 14

What is a scatter plot used for?

Answer 14

To show the relationship between two continuous variables.

Question 15

How do you create a scatter plot with Seaborn?

Answer 15

sns.scatterplot(x=df[‘col1’]

Question 16

How do you add a regression line to a scatter plot?

Answer 16

sns.regplot(x=df[‘col1’]

Question 17

How do you color-code points in a scatter plot by a third variable?

Answer 17

Add hue=df[‘category’] to sns.scatterplot().

Question 18

What is a KDE plot?

Answer 18

Kernel Density Estimate plot — a smoothed histogram showing distribution.

Question 19

How do you create a KDE plot?

Answer 19

sns.kdeplot(data=df[‘column’]

Question 20

What is a joint plot in Seaborn?

Answer 20

A 2D KDE plot with marginal KDE plots for each variable.

Question 21

How do you change the Seaborn theme?

Answer 21

sns.set_style(“theme_name”) — e.g.

Question 22

What are the three broad categories of chart types?

Answer 22

Trends

Question 23

Which chart is best for showing trends over time?

Answer 23

Line chart.

Question 24

Which chart is best for comparing quantities across groups?

Answer 24

Bar chart.

Question 25

How do you view the last 5 rows of a DataFrame?

Answer 25

data.tail()

Question 26

What does NaN stand for?

Answer 26

Not a Number — represents missing or undefined data.

Question 27

How do you load data with a date index?

Answer 27

pd.read_csv(...

Question 28

What is the purpose of the hue parameter in Seaborn?

Answer 28

To split data into different groups/colors based on a categorical variable.

Question 29

Where can you find public datasets to practice with?

Answer 29

Kaggle Datasets (kaggle.com/datasets).

Question 30

How do you start a new Kaggle notebook?

Answer 30

Go to kaggle.com/code and click "+ New Notebook".

Question 31

What libraries are typically imported for data visualization with Seaborn?

Answer 31

pandas

Question 32

What command shows all column names in a DataFrame?

Answer 32

dataframe.columns

Question 33

What type of file is commonly used for tabular data in this course?

Answer 33

CSV (Comma-Separated Values).

Question 34

How do you check your code in the exercises?

Answer 34

step_x.check()

Question 35

How do you get a hint in the exercises?

Answer 35

step_x.hint()

Question 36

How do you see the solution in the exercises?

Answer 36

step_x.solution()

Question 37

What is the role of pd.plotting.register_matplotlib_converter()?

Answer 37

Ensures proper handling of datetime objects in plots.