Python data visualization

The process of data representation through plots and graphs is called ____________.

• Data Science

• Data Visualization

• Data

• Drawing

This is an example of a ________________ plot.

• Column

• Area

• Scatter

• Line

Choose the correct option.

• plt.xlabel("Year")

• plt.ylabel("Year")

• plt.title("Year")

• plt.DataFrame("Year")

Choose the correct option.

• plt.title("Feet")

• plt.ylabel("Feet")

• plt.xlabel("Feet")

• plt.Data("Feet")

It is better to use line plots when the data is related to time, like growth over years.

• True

• False

__________________ function is used to create line plot in python.

• plot()

• line()

• scatter()

• dataframe()

The bigger the data collection the better understanding of Data.

• True

• False

This is an example of a ________________ plot.

• Column

• Area

• Scatter

• Line

The library that used to create graphs or plots in Python is_____________

• DataFrame

• Pandas

• Matplotlib

Which is a python package used for 2D graphics?

• A. matplotlib.pyplot

• B. matplotlib.pip

• C. matplotlib.numpy

• D. matplotlib.plt