Imports
Basic Python
Calculations
Coding Graphs
Wild Card
100

A keyword that lets us get useful functions from another source

import

100

A function that puts something on the console

print()

100

The sum of all numbers, divided by how many there are

mean

100

The function that turns a csv file into a dataframe

pd.read_csv(filename)

100

A graph that doesn't reflect reality, intentionally or otherwise

misleading graph

200

A source that lets us make dataframes, named after an animal

pandas

200

This operator isn't used for equality: it's to assign values to variables

=

200

This function finds the middle number of an ordered set, or the average of two middle numbers.

median()

200

What you must always type after making new graph, so you can see it

plt.show()

200

This visualization looks like a line graph, but everything under the line is shaded

Area chart

300

Often abbreviated as np, it lets us do complex calculations.

numpy

300

A named place where data is stored and altered

Variable
300

Python's multiplication sign

*

300

Makes a bar graph using the attribute "attr"

plt.bar(attr)

300

The EDA Data Cycle starts with this

Data collection

400

The three-letter abbreviation for a library that lets us make visualizations

plt

400
This error occurs because of a typo

Syntax error

400
numpy doesn't have a range() function, but you can find it using this code

max(attribute) - min(attribute)

400

Fetches an attribute called "Height" from a dataframe called "df", and stores it into the variable called "attr."

attr = df["Height"]

400

The Billboard Hot 100 shows this data type.

Ordinal

500

This keyword gives nicknames to libraries, so we don't have to type their full names every time

as

500

"Function Name Here" using Python's function naming guidelines

function_name_here

500

Math.____(9) will return 3

sqrt

500

Makes a line graph using the attribute "attr"

plt.plot(attr)

500

You don't answer truthfully because it's not socially acceptable.

Social desirability bias