Term Entry - .create_distplot() - Plotly #5618
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danitellini
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mamtawardhani
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Hey @danitellini, thank you for contributing to Codecademy Docs, the entry is nicely written! 😄
I've suggested a few changes, could you please review and modify those at your earliest convenience? Thank you! 😃
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| --- | ||
| Title: '`.create_distplot()`' | ||
| Description: '`.create_distplot()` creates interactive distribution plots combining histogram and KDE curves, ideal for visualization and comparing data distributions.' | ||
| Subjects: | ||
| - 'Data Science' | ||
| - 'Data Visualization' | ||
| Tags: | ||
| - 'Histograms' | ||
| - 'NumPy' | ||
| - 'Plotly' | ||
| - 'Python' | ||
| - 'Seaborn' | ||
| CatalogContent: | ||
| - 'learn-python-3' | ||
| - 'paths/computer-science' | ||
| - 'paths/data-science' | ||
| - 'paths/data-science-foundations' | ||
| --- |
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Suggested change
| --- | |
| Title: '`.create_distplot()`' | |
| Description: '`.create_distplot()` creates interactive distribution plots combining histogram and KDE curves, ideal for visualization and comparing data distributions.' | |
| Subjects: | |
| - 'Data Science' | |
| - 'Data Visualization' | |
| Tags: | |
| - 'Histograms' | |
| - 'NumPy' | |
| - 'Plotly' | |
| - 'Python' | |
| - 'Seaborn' | |
| CatalogContent: | |
| - 'learn-python-3' | |
| - 'paths/computer-science' | |
| - 'paths/data-science' | |
| - 'paths/data-science-foundations' | |
| --- | |
| --- | |
| Title: '.create_distplot()' | |
| Description: 'Creates a distribution plot (histogram with a kernel density estimate) for visualizing the data distribution.' | |
| Subjects: | |
| - 'Data Science' | |
| - 'Data Visualization' | |
| Tags: | |
| - 'Histograms' | |
| - 'NumPy' | |
| - 'Plotly' | |
| - 'Python' | |
| - 'Seaborn' | |
| CatalogContent: | |
| - 'learn-python-3' | |
| - 'paths/computer-science' | |
| --- |
| - 'paths/data-science-foundations' | ||
| --- | ||
|
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| The **`.create_distplot()`** function is part of Plotly's `.figure_factory` module. It is used to create distribution plots, which are visual representations that combine histograms and kernel density estimates (KDE) to display the distribution of a dataset. |
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Suggested change
| The **`.create_distplot()`** function is part of Plotly's `.figure_factory` module. It is used to create distribution plots, which are visual representations that combine histograms and kernel density estimates (KDE) to display the distribution of a dataset. | |
| The **`.create_distplot()`** function is part of Plotly's [`figure_factory`](https://www.codecademy.com/resources/docs/plotly/figure-factory) module. It creates distribution plots that combine histograms and kernel density estimates (KDE) to visually represent a dataset's distribution. |
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| fig = figure_factory.create_distplot( | ||
| hist_data, | ||
| group_labels, | ||
| (...) |
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| fig = figure_factory.create_distplot( | |
| hist_data, | |
| group_labels, | |
| (...) | |
| fig = figure_factory.create_distplot( hist_data, group_labels, ...) |
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| - `hist_data`: Contains numerical data for each dataset, entered as a list of lists or arrays. | ||
| - `group_labels`: List of strings corresponding to each dataset in `hist_data`. |
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| - `hist_data`: Contains numerical data for each dataset, entered as a list of lists or arrays. | |
| - `group_labels`: List of strings corresponding to each dataset in `hist_data`. | |
| - `hist_data`: A list of datasets to plot. Each dataset is represented as a separate group in the distribution plot. | |
| - `group_labels`: List of strings corresponding to each dataset in `hist_data`. These labels are used to distinguish the different groups in the plot. |
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| This is a basic distribution plot that generates 2 datasets with normal distributions using default settings: | ||
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| ```python |
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| ```python | |
| ```py |
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Description
Summary of Changes:
Topic: Plotly - Figure_Factory -
.create_distplot()functionFiles created:
docs/content/plotly/concepts/figure-factory/terms/create-distplot/create-distplot.mdFiles added: 'media/distplot-example.png
Description: Created a **Term Entry** for the.create_distplot()function of thefigure_factory` module.Teaching is a great way to practice and learn.
Issue Solved
Closes #4723
Type of Change
Editing an existing entry (fixing a typo, bug, issues, etc)Updating the documentationChecklist
mainbranch.Issues Solvedsection.