Key Concepts

Review core concepts you need to learn to master this subject

Unimodal Distribution

Left-Skewed Dataset

Multimodal Dataset

Bimodal Dataset

Uniform Dataset

Right-skewed Dataset

Symmetric Distribution in Histogram

Dataset Outliers

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Unimodal Distribution

Modality describes the number of peaks in a dataset. A unimodal distribution in a histogram means there is one distinct peak indicating the most frequent value in a histogram.

Describe a Histogram
Lesson 1 of 1
  1. 1
    Introduction
    At this point, you should be familiar with what a histogram displays. If you are not, take a few minutes to complete our lesson on histograms . In this lesson, we’re going to build on those skill…
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  2. 2
    Center
    One of the most common ways to summarize a dataset is to communicate its center. In this lesson, we will use average and median as our measures of centrality. Take the Codecademy lessons on averag…
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  3. 3
    Spread
    Once you’ve found the center of your data, you can shift to identifying the extremes of your dataset: the minimum and maximum values. These values, taken with the mean and median, begin to indicate…
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  4. 4
    Skew
    Once you have the center and range of your data, you can begin to describe its shape. The skew of a dataset is a description of the data’s symmetry. A dataset with one prominent peak, and similar …
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  5. 5
    Modality
    The modality describes the number of peaks in a dataset. Thus far, we have only looked at datasets with one distinct peak, known as unimodal. This is the most common. ![histogram](https://conten…
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  6. 6
    Outliers
    An outlier is a data point that is far away from the rest of the dataset. Ouliers do not have a formal definition, but are easy to determine by looking at histogram. The histogram below shows an ex…
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  7. 7
    Review
    In this lesson, you learned a framework for describing the distribution of a dataset, which includes the following five features: - Center - Spread - Skew - Modality - Outliers If you’re curious,…
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