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Types of Graphs
Christopher Roberts
Created on November 8, 2024
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Transcript
Pie Chart
Histogram
Scatter Graph
Line Graph
Stacked Bar Chart
Bar Chart
Description Points are plotted and connected by lines to show progression. Line graphs are ideal for observing how a variable changes at regular intervals. What is it best for? Showing time series data Showing trends or changes over time. Comparing multiple datasets over the same period. Example: Tracking monthly internet speed over the past five years.
Line Graph
Description Bars represent quantities for different categories, often with one axis showing categories and the other showing values. What is it best for? Comparing quantities across different categoriesExample: Comparing favourite snack choices among students (e.g., chips, fruit, sweets) Note: When there are lots of categories, it is better to have the categories on the vertical axis rather than the horizontal axis.
Bar Chart
Description Each bar is divided into sub-bars representing different parts of a total for each category. What is it best for? Comparing parts of a whole across categories, while also comparing the totals. Example: Showing monthly sales from different product lines for a store over a year.
Stacked Bar Chart
Description A circular chart divided into slices representing different categories, with each slice proportional to the percentage of each category. What is it best for? Showing parts of a whole or proportional data. Example: Showing the distribution of monthly expenses (e.g., rent, food, utilities). Note: Be careful not to have too many categories otherwise it can become difficult to read.
Pie Chart
Description Data points are plotted on an x-y axis to reveal any patterns or relationships. A linear regression line is often used to determine the trend of the data. What is it best for? Examining relationships or correlations between two variables. Example: Exploring the relationship between hours studied and test scores.
Scatter Graph
Description Similar to a bar graph, but the bars are continuous, representing ranges or intervals rather than distinct categories. What is it best for? Displaying the distribution of numerical data. Example: Analyzing test score distributions among students.