Creating Visualizations

Learning Objectives Identify the purpose of data visualization. Explain the difference between a bar chart and a pie chart. Organize data into lists of labels and values for charting. Use a simple function to generate a bar chart from data. Choose the appropriate chart type (bar or pie) for a given dataset. Add a title and axis labels to a visualization. Have you ever seen a chart that shows the most popular video games? 🎮 How can we turn a boring list of numbers into a cool picture that tells a story? In this lesson, you'll learn how to use code to turn data into pictures called visualizations, like bar charts and pie charts. This is a powerful way to understand information quickly and share your findings with others. Real-World Applications Showing survey result...

TermDefinitionExample Data VisualizationThe practice of turning data (like numbers and text) into a picture or graphic, like a chart or a map.Creating a bar chart to show how many students in a class prefer dogs, cats, or fish. Bar ChartA chart that uses rectangular bars to compare values for different categories. The length of the bar shows the value.A chart with bars for 'Apples', 'Bananas', and 'Oranges', where the 'Bananas' bar is the tallest because more people chose it. Pie ChartA circular chart divided into slices to show how a whole is broken down into parts. Each slice represents a percentage or part of the total.A circle chart showing that 50% of your allowance is for savings, 25% is for snacks, and 25% is for toys. Axis (Axes)The lines on...

Bar Chart Creation Pattern draw_bar_chart(categories, values, title) To create a bar chart, you need two lists of the same size: one for the category labels (the text for the X-axis) and one for the numerical values (which determine the bar heights). You also need a title for your chart. Pie Chart Creation Pattern draw_pie_chart(parts, numbers, title) To create a pie chart, you need two lists: one for the names of the parts (the slice labels) and one for the numbers that make up the whole. The function will calculate the percentages for you. Matching Data Rule The number of items in your 'labels' list must be equal to the number of items in your 'values' list. Every bar needs a label, and every label needs a bar. If the lists are different sizes,...