Simple Histogram (histogram)
A simple histogram calculator to visualize the frequency distribution of values. Customize bins, labels, and title.
Simple Histogram
Purpose
The Simple Histogram function helps in visualizing the distribution of a set of values by creating a histogram chart.
Use Cases
- Analyzing the frequency of values in a dataset
- Identifying patterns or outliers in the data
How to Use
- Enter the values you want to analyze in the "Values" field.
- Adjust the number of bins (groups) for the histogram in the "Bin Count" field.
- Toggle the "Density" switch based on your preference.
- Customize the labels for the X and Y axes in the respective fields.
- Click on the "Generate Histogram" button to see the chart.
Input Values
- Values: Enter a list of numerical values separated by commas.
- Description: The dataset to be visualized in the histogram.
- Bin Count: Enter the number of bins (groups) for the histogram.
- Description: Determines the granularity of the histogram.
- Density: Toggle to display the histogram as a density plot.
- Description: Shows the relative frequency of values.
- X Label: Enter the label for the X-axis of the histogram.
- Description: Describes the data represented on the X-axis.
- Y Label: Enter the label for the Y-axis of the histogram.
- Description: Describes the frequency or density on the Y-axis.
Output Values
- Chart: A visual representation of the data in the form of a histogram.
- Description: Displays the distribution of values in the dataset.
Any other Instruction
- Ensure the values entered are numerical and separated by commas.
- Experiment with different bin counts to observe variations in the histogram.
- Interpret the chart by looking at the height of bars to understand the frequency of values.
Code Analysis
- Convert the input values to a list of floats.
- Create a histogram chart with the specified parameters.
- Return the chart for visualization.
Technical Parameters
values, bin_count, density, x_label, y_label, title
Return Values
chart
Example Expressions
You can use the following expressions to directly evaluate in a non-interactive manner using eva()
.
eva(histogram(values='100, 120, 140, 160, 180', bin_count=5, density=False, x_label='Scores', y_label='Frequency', title='Test Scores'))
eva(histogram(values='50, 60, 70, 80, 90, 100, 110', bin_count=4, density=True, x_label='Grades', y_label='Density', title='Exam Results'))
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