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Plotting with Seaborn eBook for free
Plotting with Seaborn eBook for free
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Plotting with Seaborn eBook for free
Look inside
You’re a data analyst at Global Consensus Bureau, and your manager has asked you to determine how factors like education, hours worked per week, gender, and age relate to citizens’ incomes. Using pandas, you’ll pre-process data from a survey conducted by the U.S. Census Bureau. Then, you’ll create different charts to identify statistical relationships in data, using Python’s seaborn library, which provides custom functions for visual elements. When you’re done, you’ll know how to use seaborn to create visually appealing charts that reveal accurate and useful insights.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book and video resources
When you start your liveProject, you get full access to the following books and videos for 90 days.
prerequisites
This liveProject is for data analysts, research scholars, and software engineers who would like to learn how to enhance their plotting skillset with Python’s seaborn library. To begin these liveProjects you’ll need to be familiar with the following:
TOOLS- Intermediate Python programming skills (variables, functions, loops)
- Familiarity with Anaconda Python Distribution and Jupyter Notebook
- Familiarity with Matplotlib (create and customize plots using object-oriented Matplotlib interface)
- Familiarity with pandas
- Use Jupyter Notebook for Python
- Download and install Anaconda Distribution of Python and Jupyter Notebook
- Install Python packages using conda or pip package managers
you will learn
In this liveProject, you’ll learn to use seaborn to create visually appealing charts that reveal accurate and useful insights.
- Use pandas to read a CSV file into a pandas dataframe
- Data wrangling with pandas: extract a subset of rows and columns, input special values in data, change categorical values, save a dataframe to CSV file
- Set color palette with seaborn
- Set runtime configuration for seaborn plots and FacetGrid
- Create category plots: barplot, catplot, regression plot (lmplot), distribution plot (rug plot, kde plot), PairGrid, jointplot, and scatterplot
- Customize plots’ axis labels, titles, font sizes, and color palettes
- Use data columns as hue to differentiate based on categories
- Adjust spacing in subplots
- Save your plots as image files with the desired resolution
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
