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5 Beginner-Friendly Tableau Projects For Your Portfolio

by | Jan 5, 2022 | Blogs | 0 comments

As data analysts, Tableau is one of the fundamental software we must master. Here are 5 beginner-friendly Tableau projects that you can tackle to build your experience as well as boost your resumes with!

Sample Superstore Performance Exploratory Analysis

Making use of the popular Sample Superstore Dataset, you can create visualisation to take a closer look at the different aspects of its performance, such as in terms of pure sales, sales quantity, discounts applied and profit made. Doing so will allow you to work with different types of graphs that Tableau has to offer. Furthermore, you can see how performance differs by category of products sold, and when they were sold, which will allow you to gain experience in more concepts like filtering, grouping and creating sets in Tableau. 

HDB Resale Flat Geographical Analysis

Geographical analysis can be very valuable in providing more nuanced perspectives to your decision-making. Through Tableau, spatial visualisation is very easy, as Tableau has sophisticated features to identify and map spatial data automatically to a high degree of accuracy. Using the HDB Resale Flats dataset, you can visualise the different locations of HDBs on a map by simply converting the ‘Town’ variable to a geographic Data Type. Thereafter, possible analysis could include finding out the areas with the highest average resale prices, or the areas with the newest flats. 

Weather Forecasting

Apart from enabling you to develop powerful visualisations, Tableau also allows you to conduct forecasting using exponential smoothing. Using this dataset that details the daily temperature across major cities, you could first conduct analysis to highlight possible relationships between daily temperature and other factors such as region. Thereafter, you could forecast the daily temperature in different countries for the next few days or months. 

Sample Superstore Dashboard

Developing your Tableau dashboarding skills is important as it is one of the most effective ways to highlight key findings across different aspects of analysis. In order to showcase such skills, having conducted exploratory analysis on different aspects of the Sample Superstore’s performance, you can then consolidate your visualisations in a dashboard and highlight your key findings in one visual space. Additionally, you can add filters that will apply to all your visualisations so that you can show the impact of certain factors on different performance indicators. 

Weather Forecasting Story

Tableau Stories are useful when you want to combine different worksheets or dashboards together to convey a particular point. Using the dataset mentioned in Pt. 3, you could group the visualizations from your exploratory analysis into a dashboard and then link your dashboard and weather forecasting visualization in a story to convey the impact of different variables on the weather forecast. 

Whichever Tableau project you decide to pursue, ensure there is value to your visualizations and that each visualization contributes towards deriving key findings. To pick up Tableau skills (and also Excel and SQL), be sure to sign up for our Data Analytics Courses!

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