# Data Visualization Workout 15 - Data Visualization: Crafting Meaningful Plots

Data visualization is the art of representing data in a visual context. Grasp the basics of effective data visualization techniques and the principles behind creating insightful plots in this workout.

Scenario:

You’re given a series of data visualization plots, along with datasets. Your task is to match them correctly, understand the stories they tell, and suggest improvements.

Objectives:

By the end of this workout, you should be able to:

1. Identify different types of data visualizations and their best use cases.

2. Critically analyze plots for their effectiveness and clarity.

Given the following datasets and plots, match them correctly:

1. Dataset: Monthly sales data for 5 years.

• Plot Options:

• i) Pie chart

• ii) Line chart

• iii) Scatter plot

• iv) Bar chart

2. Dataset: Distribution of student grades in a class.

• Plot Options:

• i) Histogram

• ii) Donut chart

• iv) Heatmap

3. Given the following plot (a hypothetical bar chart showing sales of various products), suggest one improvement to make the visualization clearer:

Questions:

1. Which type of visualization is best suited for showing the relationship between two continuous variables?

• i) Pie chart

• ii) Scatter plot

• iii) Bar chart

• iv) Line chart

2. What is a common pitfall to avoid when designing data visualizations for a broad audience?

• i) Using too many colors.

• ii) Making the visualization interactive.

• iii) Using a legend.

• iv) Keeping the design simple and clear.

Duration: 25 minutes

Difficulty: Beginner to Intermediate

Period
This workout will be released on Tuesday, September 5, 2023, and will end on Thursday, September 28, 2023. But you can always come back to any of the workouts and solve them.

there is no image of the (bar chart) in Question #3

1. Given the following plot (a hypothetical bar chart showing sales of various products), suggest one improvement to make the visualization clearer:
• [Image: Bar Chart]

Can please do an update the workout?

thanks
Keith

1 Like

thanks
Keith

Hi - Thanks for the Workout. Please find my responses below.

Given the following datasets and plots, match them correctly:

1. Dataset: Monthly sales data for 5 years.
• Plot Options:
• i) Pie chart
• ii) Line chart
• iii) Scatter plot
• iv) Bar chart

Line Chart

1. Dataset: Distribution of student grades in a class.
• Plot Options:
• i) Histogram
• ii) Donut chart
• iv) Heatmap

HeatMap

1. Given the following plot (a hypothetical bar chart showing sales of various products), suggest one improvement to make the visualization clearer:
• [Image: Bar Chart]

Questions:

1. Which type of visualization is best suited for showing the relationship between two continuous variables?
• i) Pie chart
• ii) Scatter plot
• iii) Bar chart
• iv) Line chart

Scatter Plot.

1. What is a common pitfall to avoid when designing data visualizations for a broad audience?
• i) Using too many colors.
• ii) Making the visualization interactive.
• iii) Using a legend.
• iv) Keeping the design simple and clear.

i) Using too many colors.

Thanks
Ankit J

1 Like

Nice one

Will review and sort asap

1 Like

Here are my responses

1. Monthly sales data for 5 years; Line chart

2. : Distribution of student grades in a class; Histogram

Questions

1. Scatter plot

2. Using too many colours

Here is my solution to this workout:

Questions:

1. Which type of visualization is best suited for showing the relationship between two continuous variables?
• ii) Scatter plot
1. What is a common pitfall to avoid when designing data visualizations for a broad audience?
• i) Using too many colors.

1. Dataset: Monthly sales data for 5 years.
• Plot Options:

• ii) Line chart
1. Dataset: Distribution of student grades in a class.
• Plot Options:

• i) Histogram
1. Given the following plot (a hypothetical bar chart showing sales of various products), suggest one improvement to make the visualization clearer: