Creating great looking charts in Tableau: Real life Exercise on charts in Tableau

365 Data Science · Beginner ·📊 Data Analytics & Business Intelligence ·8y ago

Key Takeaways

This video by 365 Data Science covers creating great-looking charts in Tableau using a real-life exercise on audiobook sales and reviews data, teaching how to build a complete dashboard and analyze review growth, average review score, and correlation with sales.

Full Transcript

hello and welcome back now that we are nearly finished with our introduction to tableau it is time to start creating great-looking charts and use them to build a complete dashboard this is way more exciting than getting acquainted with tableaus interface isn't it to do that will solve a complete real-life exercise and each lesson will build upon the previous one sounds great right all right then let's get started here's the excel data we'll use it was provided by a company that has produced several audiobooks and has been selling them at an online marketplace one of the main components of that marketplace is reviews so we have two files one about sales and another one containing information about reviews customers left for each audiobook both files contain the date when a purchase or a review occurred it will be great if we manage to produce a table that takes advantage of both types of data we have when a person bought an audiobook and when and with which rating a person left a review if we manage to do that we'll be able to create several different charts in tableau that would allow us to learn if the number of reviews the company receives has been growing how did the average review score change over time what is the percentage breakdown between 10 star 9 star 8 star and other types of reviews what percentage of people acquiring an audiobook leave a review visualize the correlation between audio book sales and number of reviews or perhaps visualize the correlation between average review score and sales in the lessons to come you'll see how to do all of that stay tuned and thanks for watching

Original Description

👉🏻 Download Our Free Data Science Career Guide: https://bit.ly/2POLaN8 👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/3iKD0lv It is time to start creating great-looking charts in Tableau and use them to build a complete dashboard. To do that, we’ll solve a complete real-life exercise. And each lesson will build up on the previous one. Here’s the Excel data, we’ll use. It was provided by a company that has produced several audiobooks and has been selling them at an online marketplace. One of the main components of that marketplace is reviews, so we have two files – one about sales, and another one containing information about reviews customers left for each audiobook. Both files contain the date when a purchase or a review occurred. It will be great if we manage to produce a table that takes advantage of both types of data we have – when a person bought an audiobook and when and with which rating a person left a review. If we manage to do that, we’ll be able to create several different charts in Tableau that would allow us to learn: • If the number of reviews the company receives has been growing? • How did the average review score change over time? • What is the percentage breakdown between 10-star,9-star, 8-star and other types of reviews? • What percentage of people acquiring an audiobook leave a review? • Visualize the correlation between audiobook sales and number of reviews, or perhaps visualize the correlation between average review score and sales; In the lessons to come, you’ll see how to do all of that! ► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScience?sub_confirmation=1 ► VISIT our website: https://bit.ly/365ds 🤝 Connect with us LinkedIn: https://www.linkedin.com/company/365datascience/ 365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowl
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from 365 Data Science · 365 Data Science · 58 of 60

1 Population vs Sample
Population vs Sample
365 Data Science
2 Data Science & Statistics: Levels of measurement
Data Science & Statistics: Levels of measurement
365 Data Science
3 Statistics Tutorials: Mean, median and mode
Statistics Tutorials: Mean, median and mode
365 Data Science
4 Skewness
Skewness
365 Data Science
5 What is a distribution?
What is a distribution?
365 Data Science
6 The Normal Distribution
The Normal Distribution
365 Data Science
7 Central limit theorem
Central limit theorem
365 Data Science
8 Student's T Distribution
Student's T Distribution
365 Data Science
9 Type I error vs Type II error
Type I error vs Type II error
365 Data Science
10 Hypothesis testing. Null vs alternative
Hypothesis testing. Null vs alternative
365 Data Science
11 The linear regression model
The linear regression model
365 Data Science
12 Simple linear regression model. Geometrical representation
Simple linear regression model. Geometrical representation
365 Data Science
13 INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
365 Data Science
14 INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
365 Data Science
15 VLOOKUP and MATCH another useful functions combination [Advanced Excel]
VLOOKUP and MATCH another useful functions combination [Advanced Excel]
365 Data Science
16 VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
365 Data Science
17 The ELIF keyword [Python Fundamentals]
The ELIF keyword [Python Fundamentals]
365 Data Science
18 Working with Tuples in Python
Working with Tuples in Python
365 Data Science
19 Database Terminology - A Beginners Guide
Database Terminology - A Beginners Guide
365 Data Science
20 Relational Database Essentials
Relational Database Essentials
365 Data Science
21 Database vs Spreadsheet - Advantages and Disadvantages
Database vs Spreadsheet - Advantages and Disadvantages
365 Data Science
22 Conditional Statements and Loops
Conditional Statements and Loops
365 Data Science
23 Backpropagation – The Math Behind Optimization
Backpropagation – The Math Behind Optimization
365 Data Science
24 Monte Carlo: Forecasting Stock Prices Part I
Monte Carlo: Forecasting Stock Prices Part I
365 Data Science
25 Monte Carlo: Forecasting Stock Prices Part II
Monte Carlo: Forecasting Stock Prices Part II
365 Data Science
26 Monte Carlo: Forecasting Stock Prices Part III
Monte Carlo: Forecasting Stock Prices Part III
365 Data Science
27 365 Data Science Online Program
365 Data Science Online Program
365 Data Science
28 Data frames - Creating a data frame
Data frames - Creating a data frame
365 Data Science
29 Data Science & Statistics: Slicing a matrix in R
Data Science & Statistics: Slicing a matrix in R
365 Data Science
30 Data frames in R - Exporting data in R
Data frames in R - Exporting data in R
365 Data Science
31 Data frames in R - Transforming data PART II
Data frames in R - Transforming data PART II
365 Data Science
32 Data Frames in R - Subsetting a data frame
Data Frames in R - Subsetting a data frame
365 Data Science
33 Data Science & Statistics: Matrix arithmetic in R
Data Science & Statistics: Matrix arithmetic in R
365 Data Science
34 Data Science & Statistics: Indexing an element from a matrix
Data Science & Statistics: Indexing an element from a matrix
365 Data Science
35 Data Frames in R - Extending a data frame
Data Frames in R - Extending a data frame
365 Data Science
36 Data Science & Statistics: Creating a matrix in R FASTER
Data Science & Statistics: Creating a matrix in R FASTER
365 Data Science
37 Data Science & Statistics: Creating a Matrix in R
Data Science & Statistics: Creating a Matrix in R
365 Data Science
38 Data frames - Importing data in R
Data frames - Importing data in R
365 Data Science
39 Data frames in R - Getting a sense of your data
Data frames in R - Getting a sense of your data
365 Data Science
40 Data frames in R - Transforming data PART I
Data frames in R - Transforming data PART I
365 Data Science
41 Data frames in R - Import a CSV in R
Data frames in R - Import a CSV in R
365 Data Science
42 Data Science & Statistics: Matrix operations in R
Data Science & Statistics: Matrix operations in R
365 Data Science
43 Data Science & Statistics: Matrix recycling in R
Data Science & Statistics: Matrix recycling in R
365 Data Science
44 Tableau vs Excel: When to use Tableau and when to use Excel
Tableau vs Excel: When to use Tableau and when to use Excel
365 Data Science
45 Download Tableau: Learn how to download Tableau Public
Download Tableau: Learn how to download Tableau Public
365 Data Science
46 Connecting data sources: Useful tips when connecting data sources to Tableau
Connecting data sources: Useful tips when connecting data sources to Tableau
365 Data Science
47 The Tableau interface: See how to navigate through the Tableau interface
The Tableau interface: See how to navigate through the Tableau interface
365 Data Science
48 Tableau data visualization: Create your first Tableau visualization!
Tableau data visualization: Create your first Tableau visualization!
365 Data Science
49 Duplicating sheets: This is how to duplicate a sheet in Tableau
Duplicating sheets: This is how to duplicate a sheet in Tableau
365 Data Science
50 Build a table in Tableau: The steps needed to create a simple table in Tableau
Build a table in Tableau: The steps needed to create a simple table in Tableau
365 Data Science
51 Custom fields in Tableau: Using Tableau operators to create custom fields
Custom fields in Tableau: Using Tableau operators to create custom fields
365 Data Science
52 Custom fields in Tableau: Add calculations to tables through custom fields
Custom fields in Tableau: Add calculations to tables through custom fields
365 Data Science
53 Totals in Tableau: Learn how to display subtotals and totals in Tableau
Totals in Tableau: Learn how to display subtotals and totals in Tableau
365 Data Science
54 Gross Margin calculation in Tableau
Gross Margin calculation in Tableau
365 Data Science
55 What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
365 Data Science
56 Joins in Tableau: Inner, outer, left, or a right join in Tableau
Joins in Tableau: Inner, outer, left, or a right join in Tableau
365 Data Science
57 Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
365 Data Science
Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
365 Data Science
59 Joins in Tableau: Choose the correct join type
Joins in Tableau: Choose the correct join type
365 Data Science
60 How to make a data check in Tableau: A quick data check is better than no data check
How to make a data check in Tableau: A quick data check is better than no data check
365 Data Science

This video teaches how to create great-looking charts in Tableau using a real-life exercise on audiobook sales and reviews data, covering data visualization, dashboard creation, and analysis of review growth and average review score.

Key Takeaways
  1. Download the Excel data provided by the company
  2. Connect to the data in Tableau
  3. Create a table that combines sales and review data
  4. Build a dashboard with multiple charts to analyze review growth, average review score, and correlation with sales
  5. Visualize the percentage breakdown of reviews by rating
  6. Visualize the correlation between audio book sales and number of reviews
💡 By combining sales and review data, you can create interactive dashboards in Tableau to gain insights into review growth, average review score, and correlation with sales, enabling data-driven decision making.

Related AI Lessons

The Attention Economy: Your Attention Is Worth More Than Gold
Learn how the attention economy works and why your focus is a valuable resource in the digital age
Medium · Data Science
What I Learned Building a Tableau Dashboard for Deloitte’s Data Analytics Simulation
Learn how to build a Tableau dashboard for data analytics by exploring a real-world project for Deloitte's simulation, focusing on machine downtime and pay equity
Medium · Data Science
Six Months, 9,541 Restaurant Development Records, and What the Data Actually Says
Analyzing 9,541 restaurant development records reveals insights into the industry, showing what the data actually says about trends and patterns
Medium · Data Science
CRM Analitiği ile Müşteri Değerini Anlamak: RFM, CLTV ve Predictive CLTV Rehberi
Learn how to use CRM analytics to understand customer value with RFM, CLTV, and Predictive CLTV
Medium · Data Science
Up next
Salesforce Flow New Features (Summer '26) | Open Record, URL & Show Toast Messages
AITECHONE
Watch →