Tableau for Data Analyst – Tableau Waterfall Chart

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

A waterfall chart is a type of graph that is used to display how an initial value changes over time. It provides a clear visual representation of the positive and negative changes that occur, as well as the final value.

Tableau is a data visualization software that makes it easy to create waterfall charts and gain insights from your data. With Tableau, data analysts can quickly and easily create a waterfall chart, customize the appearance of the graph, and interact with the data to explore patterns and identify trends.

To create a waterfall chart in Tableau, you first need to connect to your data source. This could be a database, spreadsheet, or any other type of data file. Once you have connected to your data source, you can drag and drop the fields that you want to display in the waterfall chart onto the Rows and Columns shelves.

Next, you need to choose the type of waterfall chart that you want to create. Tableau offers several different types of waterfall charts, including stacked and clustered waterfall charts. Each type of waterfall chart has its own unique features and uses, so it’s important to choose the right type for your data.

Once you have created your waterfall chart, you can customize the appearance of the graph by changing the color, size, and other formatting options. You can also add reference lines, labels, and annotations to provide additional context and insights.

One of the key benefits of using Tableau to create waterfall charts is the ability to interact with the data. You can hover over the chart to see the underlying data, or use filters to highlight specific categories or ranges. This makes it easy to understand the overall trend in the data, as well as the fluctuations and changes over time.

In conclusion, waterfall charts are a powerful tool for data analysts to display how an initial value changes over time. Tableau makes it easy to create and customize waterfall charts, and provides interactive features that allow you to explore and understand your data in more depth. Whether you are a seasoned data analyst or just starting out, Tableau is a great tool for creating waterfall charts and gaining insights from your data.

Tableau for Data Analyst – Tableau Waterfall Chart

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [968.96 KB]

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!