Getting Started with Data Visualizations
Data Visualizations in the Real World
Welcome to Data Visualizations
Welcome data scientist! You are now ready to learn all about Python for data visualizations. Exploratory Data Analysis (EDA) is the initial step in data analysis. Here, the data scientist uses visual exploration to understand what is in a dataset and the characteristics of the data. A major part of EDA is data visualization. Data visualizations put large or complex data into graphical format so that patterns, trends and correlations can be more easily seen. Some EDA techniques include:
- Plotting the raw data with histograms or scatter plots
- Plotting simple statistics with boxplots
This workshop will provide you with the foundation you need to become a data scientist. After completing this workshop, you will be able to use Python to perform Exploratory Data Analysis with data visualizations. Specifically, you’ll learn about: Python’s list comprehension, range( ) and len( ) functions; and Matplotlib for plotting lines, bar charts, pie charts, histograms and boxplots.
Python for Data Science workshop is a prerequisite for this workshop. If you don’t have any prior Python programming knowledge, it is highly recommended you complete that workshop first.