Python Data Visualization L4 Quiz

What is the primary purpose of data visualization in Python?

• To store data

• To display data in a graphical format

• To process data

• To analyze data textually

Which Python library is commonly used for creating basic chart types?

• pandas

• seaborn

• matplotlib

• plotly

What kind of visualizations can you create using pandas?

• Scatter plots

• Line plots

• Bar charts

• All of the above

Which library is known for its interactive visualizations?

• seaborn

• matplotlib

• plotly

• pandas

What is an advantage of using seaborn for exploratory data analysis?

• It is interactive

• It offers advanced statistical visualizations

• It is faster than other libraries

• It is simpler to use than matplotlib

Which of the following best practices is important for effective data visualization?

• Use as many colors as possible

• Overload charts with information

• Keep charts simple and focused

• Avoid using labels

In Jupyter Notebooks, what is the benefit of combining storytelling with data visualizations?

• It makes the notebook run faster

• It enhances the understanding of data insights

• It simplifies the data cleaning process

• It automatically analyzes the data

What type of data visualization is best for showing the distribution of a dataset?

• Line plot

• Histogram

• Scatter plot

• Bar chart

What does "EDA" stand for in data analysis?

Which library would you use to describe your data by visualization and basic statistics?

• pandas

• seaborn

• matplotlib

• plotly