Exploratory analysis
Whenever you obtain a new dataset, your first task should always be to do some exploratory analysis to get a better understanding of the data and diagnose it for any potential issues.
The Gapminder data for the 19th century has been loaded into a DataFrame called g1800s. In the IPython Shell, use pandas methods such as .head(), .info(), and .describe(), and DataFrame attributes like .columns and .shape to explore it.
Use the information that you acquire from your exploratory analysis to choose the true statement from the options provided below.
INSTRUCTIONS
50XP
INSTRUCTIONS
50XP
Possible Answers
The DataFrame has 259 rows and 100 columns.
press 1
The DataFrame has no missing values encoded as NaN.
press 2
100 of the columns are of type float64 and 1 column is of type object.
press 3
The DataFrame takes up 203.2+ KB of memory.
'''
100 of the columns are of type float64 and 1 column is of type object.

