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

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

Barplot

A barplot represents an estimate of the central tendency for a numeric variable with the height of each rectangle and provides some indication of the uncertainty around that estimate using error bars.

Bar plots include 0 in the quantitative axis range, and they are a good choice when 0 is a meaningful value for the quantitative variable, and you want to make comparisons against it.

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

Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Everything was clear?

Section 3. Chapter 5
toggle bottom row

Barplot

A barplot represents an estimate of the central tendency for a numeric variable with the height of each rectangle and provides some indication of the uncertainty around that estimate using error bars.

Bar plots include 0 in the quantitative axis range, and they are a good choice when 0 is a meaningful value for the quantitative variable, and you want to make comparisons against it.

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

Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Everything was clear?

Section 3. Chapter 5
toggle bottom row

Barplot

A barplot represents an estimate of the central tendency for a numeric variable with the height of each rectangle and provides some indication of the uncertainty around that estimate using error bars.

Bar plots include 0 in the quantitative axis range, and they are a good choice when 0 is a meaningful value for the quantitative variable, and you want to make comparisons against it.

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

Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Everything was clear?

A barplot represents an estimate of the central tendency for a numeric variable with the height of each rectangle and provides some indication of the uncertainty around that estimate using error bars.

Bar plots include 0 in the quantitative axis range, and they are a good choice when 0 is a meaningful value for the quantitative variable, and you want to make comparisons against it.

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

Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Section 3. Chapter 5
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