Boxplot | Categorical Plot Types
Deep Dive into the seaborn Visualization

Course Content

Deep Dive into the seaborn Visualization

## Deep Dive into the seaborn Visualization

1. Light Start
2. Distributions of Data
3. Categorical Plot Types
4. Matrix Plots
5. Multi-Plot Grids
6. Regression Models

# Boxplot

A `boxplot` is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

1. Set the `'ticks'` style with the `'grey'` `figure.facecolor` and `'white'` `x-` & `yticks`.
2. Create the `boxplot` using the `seaborn` library:
• Set the `x` parameter equals the `'distance'`;
• Set the `y` parameter equals the `'method'`;
• Set the `linewidth` parameter equals `2`;
• Set the `saturation` parameter equals `0.4`;
• Set the `'vlag'` palette.

1. Set the `'ticks'` style with the `'grey'` `figure.facecolor` and `'white'` `x-` & `yticks`.
2. Create the `boxplot` using the `seaborn` library:
• Set the `x` parameter equals the `'distance'`;
• Set the `y` parameter equals the `'method'`;
• Set the `linewidth` parameter equals `2`;
• Set the `saturation` parameter equals `0.4`;
• Set the `'vlag'` palette.

Everything was clear?

Section 3. Chapter 3

# Boxplot

A `boxplot` is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

1. Set the `'ticks'` style with the `'grey'` `figure.facecolor` and `'white'` `x-` & `yticks`.
2. Create the `boxplot` using the `seaborn` library:
• Set the `x` parameter equals the `'distance'`;
• Set the `y` parameter equals the `'method'`;
• Set the `linewidth` parameter equals `2`;
• Set the `saturation` parameter equals `0.4`;
• Set the `'vlag'` palette.

1. Set the `'ticks'` style with the `'grey'` `figure.facecolor` and `'white'` `x-` & `yticks`.
2. Create the `boxplot` using the `seaborn` library:
• Set the `x` parameter equals the `'distance'`;
• Set the `y` parameter equals the `'method'`;
• Set the `linewidth` parameter equals `2`;
• Set the `saturation` parameter equals `0.4`;
• Set the `'vlag'` palette.

Everything was clear?

Section 3. Chapter 3

# Boxplot

A `boxplot` is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

1. Set the `'ticks'` style with the `'grey'` `figure.facecolor` and `'white'` `x-` & `yticks`.
2. Create the `boxplot` using the `seaborn` library:
• Set the `x` parameter equals the `'distance'`;
• Set the `y` parameter equals the `'method'`;
• Set the `linewidth` parameter equals `2`;
• Set the `saturation` parameter equals `0.4`;
• Set the `'vlag'` palette.

1. Set the `'ticks'` style with the `'grey'` `figure.facecolor` and `'white'` `x-` & `yticks`.
2. Create the `boxplot` using the `seaborn` library:
• Set the `x` parameter equals the `'distance'`;
• Set the `y` parameter equals the `'method'`;
• Set the `linewidth` parameter equals `2`;
• Set the `saturation` parameter equals `0.4`;
• Set the `'vlag'` palette.

Everything was clear?

A `boxplot` is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

1. Set the `'ticks'` style with the `'grey'` `figure.facecolor` and `'white'` `x-` & `yticks`.
2. Create the `boxplot` using the `seaborn` library:
• Set the `x` parameter equals the `'distance'`;
• Set the `y` parameter equals the `'method'`;
• Set the `linewidth` parameter equals `2`;
• Set the `saturation` parameter equals `0.4`;
• Set the `'vlag'` palette.