data visualization

Question 1

what are bar plots?

Answer 1

Bar Plots are the most common way of displaying the distribution of a qualitative (categorical) variable.

Question 2

how do we generate a bar plot?

Answer 2

import seaborn as sns
sns.countplot(data = births, x = ‘Maternal Smoker’);

Question 3

how do we generate a histogram?

Answer 3

sns.histplot(data = births, x = ‘Maternal Pregnancy Weight’);

Question 4

what is skewed right?

Answer 4

If a distribution has a long right tail, we call it skewed right. Mean is typically to the right of the median.

Question 5

what is skewed left?

Answer 5

If the tail is on the left, we say the data is skewed left.

Question 6

what is unimodial

Answer 6

A plot with one clear maximum

Question 7

what is bimodial

Answer 7

A plot with 2 maximums, even if one is taller–it’s like two mountain peaks right next to eachother

Question 8

how do we plot a histogram for density?

Answer 8

sns.histplot(data = births, x = ‘Maternal Pregnancy Weight’,
kde = True, stat = “density”);

Question 9

how do we plot a violonplot?

Answer 9

sns.violinplot(data=births, x=’Maternal Smoker’, y=’Birth Weight’)

Question 10

what is KDE?

Answer 10

Kernel Density Estimation is used to estimate a probability density function (or density curve) from a set of data.
Just like a histogram, a density curve’s total area must sum to 1.