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Boxplot | Categorical Plot Types
Deep Dive into the seaborn Visualization
course content

Conteúdo do Curso

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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Tarefa

  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.

Tarefa

  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.

Tudo estava claro?

Seção 3. Capítulo 3
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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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Tarefa

  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.

Tarefa

  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.

Tudo estava claro?

Seção 3. Capítulo 3
toggle bottom row

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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Tarefa

  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.

Tarefa

  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.

Tudo estava claro?

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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Tarefa

  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.

Seção 3. Capítulo 3
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