Welcome back! In this article, we will delve into the exciting world of creating great-looking charts in Tableau and using them to build complete dashboards. If you’re tired of just getting acquainted with Tableau’s interface, get ready for some hands-on exercises that will take your skills to the next level.
Contents
- Solving a Real-life Exercise
- Building Insightful Charts
- Has the number of reviews been growing?
- How did the average review score change over time?
- What is the percentage breakdown between different review ratings?
- What percentage of people acquiring an audiobook leave a review?
- Visualizing the correlation between audiobook sales and the number of reviews
- Visualizing the correlation between average review score and sales
- FAQs
- Conclusion
Solving a Real-life Exercise
To make this learning experience more practical, we will solve a complete real-life exercise. Imagine a company that sells audiobooks through an online marketplace. This company is interested in analyzing the reviews left by customers and understanding the trends over time.
We have two files at our disposal: one containing sales data and another containing information about reviews. Both files include the date of purchase or review. By combining these datasets, we can create a powerful table that provides insights into the number of reviews received, changes in average review scores, and the breakdown of reviews by rating.
Building Insightful Charts
With the combined dataset, we can dive into Tableau and create a variety of charts to answer important questions:
Has the number of reviews been growing?
By plotting the number of reviews over time, we can assess whether the company is receiving more reviews or if there are any noticeable patterns.
How did the average review score change over time?
Tracking the average review scores through a line chart allows us to evaluate if there are any fluctuations or trends in customer satisfaction.
What is the percentage breakdown between different review ratings?
Using a pie chart, we can visually represent the distribution of review ratings, such as 10-star, 9-star, 8-star, and others. This breakdown provides valuable insights into the overall sentiment of customers.
What percentage of people acquiring an audiobook leave a review?
By calculating the ratio of reviews to purchases, we can determine the percentage of customers who actually leave a review. This helps understand customer engagement and satisfaction.
Visualizing the correlation between audiobook sales and the number of reviews
Creating a scatter plot or a line chart that compares audiobook sales with the number of reviews can provide insights into the relationship between these two variables.
Visualizing the correlation between average review score and sales
Another interesting analysis is to explore the correlation between average review scores and audiobook sales. By visualizing this relationship, we can identify any potential patterns or trends.
FAQs
Q: Where can I find Tableau?
A: You can download Tableau from the official website of Techal.
Q: Can I use Tableau for free?
A: Tableau offers a free trial version for a limited period. After that, you may need to purchase a license to continue using it.
Q: Are there any prerequisites for learning Tableau?
A: While prior knowledge of data analysis and visualization is beneficial, Tableau is designed to be user-friendly, making it accessible to beginners as well.
Conclusion
In this article, we introduced you to the exciting world of creating great-looking charts in Tableau. By solving a complete real-life exercise, we demonstrated how you can use Tableau to analyze and visualize data, gaining valuable insights into customer reviews. Stay tuned for more upcoming lessons and become a Tableau expert!
