A bar graph that shows the frequency of data is a visual representation used to display the number of occurrences of different categories or groups within a dataset. Each bar represents a category, with the height or length of the bar indicating the frequency or count of data points in that category. This type of graph allows for easy comparison between different categories and helps identify trends or patterns within the data. Bar graphs can be oriented vertically or horizontally, depending on the preference of the presenter.
a histogram
Histogram which is a type of bar graph. The data is grouped into equal ranges and the bars show how many occurances are in each range.
a graph that shows the data.
A pie chart, also known as a circle graph, shows categorical data using percentages. A bar graph shows categorical data using whole numbers.
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a histogram
Histogram which is a type of bar graph. The data is grouped into equal ranges and the bars show how many occurances are in each range.
It could be a bar graph or a frequency polygon. Or, if the intervals are of different sizes, a histogram.
a graph that shows the data.
a bar graph shows the amount in your research
A double bar graph shows two sets f data in one chart. A bar graph just shows one.
A pie chart, also known as a circle graph, shows categorical data using percentages. A bar graph shows categorical data using whole numbers.
A bar graph shows categorical data represented by rectangular bars. Each bar represents a different category and the height of the bar represents the frequency or amount associated with that category. It is commonly used to compare and display data in categories or groups.
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Bar Graph
bar graph
A frequency distribution graph, commonly represented as a histogram or a bar chart, displays the frequency of data points within specified intervals or categories. In a histogram, the x-axis represents the intervals of data, while the y-axis shows the frequency of observations within those intervals. This type of graph helps visualize the distribution and patterns of data effectively.