Learn how to create basic charts. This video covers the features of Plotly line charts.
- [Instructor] So, let's start out first … by just creating some line charts. … And I'll first start by generating a very basic line chart. … So we'll create a variable called A, … and we'll create that from the linspace function. … So that's np.linspace. … And we want this variable to hold 36 numbers … that range between zero and 36. … So our start value is going to be start equal to zero … and our stop value would be equal to 36. … And then our numbers count, in terms of the number of values … we want to be stored within the variable, … that's going to be num equal to 36, okay? … And then let's also set our random seed generator, … so that's np.random.seed, … and we'll pass in a number, … you use the same number you're going to get … the same random results that I get on my machine. … Now, let's go ahead and create a set … of uniformly distributed random numbers. … So to do that we're going to actually use … the random uniform function from NumPy. … And we'll create a new variable here called B, …
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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