Learn how to group and aggregate. This video covers subgrouping, describing subgroups, and data aggregation.
- [Instructor] Now we're going to talk … about data grouping and aggregation. … Grouping and aggregation are useful for exploring … and describing your dataset in its subgroups. … Imagine that your a merchant that sells fruit … and you have a dataset … that describes the different types of fruit that you have … and where you purchased them from. … To understand what a subgroup is, … look at this example of the dataset … that has apple and orange records. … If you were to reduce this dataset down … to its fundamental subgroups by fruit category, … you would get two records, apple and orange. … Grouping is an excellent method to use … when you want to explore and understand your data … and its inherent subgroups. … It's useful for many many reasons. … You can group data, in order to compare subsets … and deduce reasons why subgroups differ the way they do, … or you may only be interested … in specific subgroups for your analysis. … Grouping can help you identify … and subset out those subgroups. …
AuthorLillian Pierson, P.E.
- Why use Python for working with data
- Filtering and selecting data
- Concatenating and transforming data
- Data visualization best practices
- Visualizing data
- Creating a plot
- Creating statistical data graphics
- Performing basic math and linear algebra
- Correlation analysis
- Multivariate analysis
- Data sourcing via web scraping
- Introduction to natural language processing
- Collaborative analytics with Plotly
Skill Level Intermediate
Python Statistics Essential Trainingwith Michele Vallisneri2h 58m Intermediate
1. Introduction to the Data Professions
High-level course road map1m 28s
2. Data Preparation Basics
3. Data Visualization 101
4. Practical Data Visualization
5. Basic Math and Statistics
6. Data Sourcing via Web Scraping
7. Collaborative Analytics with Plotly
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