Welcome to the workshop. In Week 1 we will start with an overview of Tableau and learn how to do some basic chart types. Mostly we will be following the Week 1 Workbook linked to below. You might want to have it available for reference, but mostly you will be following along with the instructor. For sure, you will want to download and have available the Week 1 Dataset on your computer.
This week we are going to primarily use a dataset that ships with Tableau (the World Indicators dataset under the Welcome Page’s “Saved Data Sources” header on the left). We will begin by building on the basic chart types we learned in Week 1 and then extend. Our focus will include:
Data Table analysis
Filters (static and interactive)
Assignment: Let’s look at the Makeover Monday 2/8/21 challenge dataset here. To get inspired, here is an hour-long YouTube Stream working with this data and here is the VizReview session of submissions for the week.
Optional: Itching to grow your Tableau muscles a bit more? Try your hand with this dataset while following this workshop workbook
This week we will continue to build on the chart types and techniques learned in the first two weeks. Additional topics to be covered include:
Messy Data (data cleaning and pivoting)
Building and sharing dashboards (for best results, make sure you have a Tableau Public account in order to publish your dashboard)
A brief look at Tableau Prep (included with your Tableau Academic License)
Best practices for keeping a project notebook and file naming conventions.
Possible datasets that we might use this week include:
Community/Learning Resources (Tableau is not just a great product, it is a great community!)
Makeover Monday – My top recommendation for learning Tableau! Each Sunday a new dataset is released, and hundreds of people build and share visualizations using this dataset over the week. On Mondays, one of the coordinators gives an hour + YouTube streaming session analyzing the week’s dataset in Tableau (here is a great example focused on comparing two quantities). On Wednesdays, an hour-long “viz review” session is held examining some of the visualizations that were made. On Friday, the coordinators pick their Top 5 favorite visualizations for the week. On Sundays, it begins all over again. Most of this is done over Twitter (#MakeoverMonday,@VizWizBI, @TriMyData).
Best of the Tableau Web – Nowadays, it seems everyone is a blogger. To get introduced to the wide world of Tableau Blogs, go here, pull down the Category filter and choose Community.
Data.Gov – This is a website of pointers to U.S. Government data. In my opinion, it is a little lame. Some of the pointers lead to non-existent or poorly formatted data. The site has very lofty goals even if it does not fully meet them. Nevertheless, it is an important first stop for anyone seeking data about a specific topic.
Kaggle.com – – A popular data sharing site. Some datasets are well suited for Tableau analysis, others are better suited to different tools/techniques (e.g., machine learning, sentiment analysis, network analysis, etc.). I like this site because it gives a “usability” rating for each dataset and has better search capabilities than other sites (I’m looking at you, Data.World).
Data.World – Another popular data sharing site. Content is posted by users and has varying levels of coverage and quality.
Data is Plural – This is a highly-addictive weekly email providing links to a wide-ranging and idiosyncratic list of datasets. A spreadsheet of past datasets listed can be found here. Take a second and look at the different types of datasets that are out there in the wild (start at the bottom for most recent)!
V-Dem – Public Policy students, take note of this! Curated and referenced dataset on 483 measures covering 202 countries over 240 years.