Data Visualization

Question 1

What is matplotlib

Answer 1

A library that specializes in data visualization. The oldest and by far the most popular python plotting library

Question 2

How to import matplotlib library

Answer 2

import matplotlib.pyplot as plt

Question 3

Function used to create line graphs

Answer 3

plt.plot()

Question 4

Function used to create bar graphs

Answer 4

plt.bar()

Question 5

Function used to create a scatter plot

Answer 5

plt.scatter()

Question 6

What are Histograms?

Answer 6

It is a common practice to create histograms to explore your data as it can give you a general idea of what your data looks like

Question 7

How to create histogram chart?

Answer 7

By entering in this function with value
df[‘Object’].hist()

Question 8

How to remove scientific notation?

Answer 8

df[‘object’].hist()
plt.tickable_format(useOffset=False, style=’plain’)

Question 9

How to address overlapping after removing scientific notation

Answer 9

df[‘object’].hist()
plt.xticks(rotation = 45)
plt.ticklabel_format(useOffset=False, style=’plain’)

Question 10

What are bins in histogram?

Answer 10

Each bin is a plotted bar whose height corresponds to how many data points are in that bin

Question 11

What are Boxplots?

Answer 11

A boxplot is a standardized way of displaying the distribution of data based on a five number summary(min,median,max). It can tell you about your outliers and what their values are.

Question 12

How to use seaborn boxplot

Answer 12

sns.boxplot(x=’categorical’, y=’numerical’, pallet=’blugrn’)

Question 13

What does correlated mean?

Answer 13

As a data scientist, we are often interested in if (and how) different features of a dataset may be related. For numerical data, one key way to describe a relationship is the correlation

Question 14

How to check for correlation in python?

Answer 14

By using df.corr() function

Question 15

What is exploratory visualization?

Question 16

What is explanatory visualization?

Answer 16

To explain and tell a story to your audience with data

Question 17

Function used to find the different aesthetic styles available for your figures?

Answer 17

plt.style.available this will pull up all the styles you can use

Question 18

How to use the plt.sryle function

Answer 18

You can use it as plt.style.use(‘’)
And then plt.plot([],[]) to display