Learn about statistics that can help understand characteristics of data sets.
- [Instructor] Let's look at exploring data with statistics.…Statistics can help us understand…characteristics of a data set.…A group of statistics known as descriptive statistics…provide two kinds of measures.…The first is central tendency,…which describes different kinds of midpoints in a data set.…The other is the spread or variance of data.…That describes the range of data…and how it is spread out.…Central tendency can be measured by the mean,…which is also called the average.…
This is the sum of the values…divided by the number of values.…For example, the mean of this list is 30.…Mode is the data value that occurs…most frequently in a set of values.…For example, in this list, the mode is 10.…The spread of data helps us understand…how data is distributed.…For example, a bell curve is a common shape…of the distribution of data values…such as the height of human beings.…
Sometimes the distribution of data…is predominantly at one side of the curve.…Here's an example of such a curve,…which is called the long tail curve.…
Author
Dan Sullivan
Released
6/7/2018- Exploratory data analysis vs. hypothesis-driven statistical analysis
- Performing data quality checks
- Calculating quartiles
- Using box plot to understand the distribution of values
- Using histograms to understand the frequency of values
- Using chi square to understand the correlation between values
Skill Level Beginner
Duration
Views
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Introduction
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Welcome54s
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1. Introduction to Exploratory Data Analysis
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Why explore data?1m 28s
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2. Data Quality Checks
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Why check data?2m 56s
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Types of quality checks2m 53s
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Imputing missing values2m 53s
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3. Calculating Quartiles
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Ordering and counting2m 22s
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Calculating quartiles1m 51s
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Introduction to box plots2m 28s
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4. Histograms
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Introduction to histograms1m 50s
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Partitioning data2m 5s
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Calculating histograms1m 12s
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5. Checking Correlation between Attributes
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Introduction to correlation1m 41s
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Conclusion
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Next steps1m 9s
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Video: Exploring data with statistics