Quiz on pandas

Check how much you remember from previous sections by answering the questions below.

What is data wrangling?

✓A method of cleaning and transforming raw data.

✗An algorithm used to visualize data.

✗A data storage technique.

✗A type of statistical modeling.

What does “munging” refer to in data science?

✗A process of building machine learning models.

✗A technique for visualizing data.

✓Cleaning and preparing data for analysis

✗A method of organizing files in a database.

Which of the following is NOT an ideal strategy to handle missing data in a dataset?

✗Removing rows with missing data.

✗Filling missing data with a constant value.

✗Ignoring the missing data.

✓Adding random data to fill the gaps.

Which of the following methods in pandas is used to check for missing values in a dataset?

✓df.isnull()

✗df.fillna()

✗df.dropna()

✗df.notnull()

You want to load a CSV file into a pandas DataFrame. Which function would you use?

✓pd.read_csv('file.csv')

✗pd.load_csv('file.csv')

✗pd.open_csv('file.csv')

✗pd.read_file('file.csv')

What does df['column'].astype(float) do in a pandas DataFrame?

✗Changes the entire DataFrame to float type.

✓Changes the datatype of a specific column to float.

✗Deletes the column named 'column'.

✗Changes the column index to float numbers.

What does the float datatype represents?

✗A sequence of Unicode characters.

✓A number with decimal places.

✗A number without decimal places.

✗Any arbitrary object.

Which of these conditions does NOT describe a tidy data frame?

✗Each observation forms a row.

✓Each column contains only non-missing values.

✗Each variable forms a column.

✗Each type of observational unit forms a table.

Which package is used by pandas for plotting?

✗seaborn

✗pyplot

✓matplotlib

✗hvplot

What does df.loc[:, "cat":"dog"] do?

✗Selects all rows and columns "cat" and "dog".

✗Selects all columns and rows "cat" and "dog".

✗Selects all columns and all rows between rows "cat" and "dog".

✓Selects all rows and all columns bewtween columns "cat" and "dog".