Search⌘ K
Home
Courses
Mastering Plotly and Dash Data Visualization with Python

Exercise: Titles and Axes

Explore how to customize scatter plots in Plotly by setting main titles, axis labels, fonts, tick formatting, and grid visibility. This lesson helps you apply detailed stylistic adjustments to enhance the clarity and presentation of your data visualizations.

We'll cover the following...

Exercise

Create a scatter plot that plots life expectancy (Life_exp) vs. GDP per capita (GDP/Capita). In doing so, ensure the following conditions are met:

  • The main title says Life Expectancy Against GDP Per Capita and is centered with the font family "Times New Roman" and size 46.

  • x-axis is titled 'GDP Per Capita', and x-axis is titled "Life Expectancy". Ensure the font family is "Times New Roman" and size 30 for both the 𝑥 and 𝑦-axis titles.

  • x and y ticks have font family "Times New Roman" and size 18 ...