Зміст курсу
Gaining Insights with Data Visualization
Gaining Insights with Data Visualization
Scatter Plots
A scatter plot is a type of graph that used to display values for typically two variables for a set of data. Each value in the dataset is represented by a dot or mark on the plot, positioned according to its values for the variables.
Scatter plots are particularly useful for showing relationships between two continuous variables. They can be used to visualize patterns and trends in data and to identify correlations between variables.
For instance, a scatter plot could illustrate the relationship between a person's height and weight or track changes in a company's stock price over time. Additionally, enhancements like color coding or different marker styles can further elucidate the relationships among multiple variables or categories.
Завдання
- Import the
pandaslibrary with thepdalias. - Initialize a
pandasDataFrame with 100 records, setting the'x_values'column to range from 1 to 101 exclusive. - Create a scatter plot with the
'x_values'column on the x-axis and the'y_values'column on the y-axis. - Set the title of the graph to 'Scatter Plot'.
Завдання
- Import the
pandaslibrary with thepdalias. - Initialize a
pandasDataFrame with 100 records, setting the'x_values'column to range from 1 to 101 exclusive. - Create a scatter plot with the
'x_values'column on the x-axis and the'y_values'column on the y-axis. - Set the title of the graph to 'Scatter Plot'.
Все було зрозуміло?
A scatter plot is a type of graph that used to display values for typically two variables for a set of data. Each value in the dataset is represented by a dot or mark on the plot, positioned according to its values for the variables.
Scatter plots are particularly useful for showing relationships between two continuous variables. They can be used to visualize patterns and trends in data and to identify correlations between variables.
For instance, a scatter plot could illustrate the relationship between a person's height and weight or track changes in a company's stock price over time. Additionally, enhancements like color coding or different marker styles can further elucidate the relationships among multiple variables or categories.
Завдання
- Import the
pandaslibrary with thepdalias. - Initialize a
pandasDataFrame with 100 records, setting the'x_values'column to range from 1 to 101 exclusive. - Create a scatter plot with the
'x_values'column on the x-axis and the'y_values'column on the y-axis. - Set the title of the graph to 'Scatter Plot'.
