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Georgia Exports - Primer on Using Census Data

·318 words·2 mins

Our company is interested in exporting our products. What data sources are available and how can we evaluate our prospects?


The U.S. Census Bureau has a wealth of information for evaluating both domestic and international markets. In this series of blog articles, I’ve documented the methods for retrieving Census export data and analyzing it in Power BI. Topics include: the product classifications used by the Census, the mechanics for retrieval and how Power BI and the Tabular data model can make quick work of a 5 million row data set. 

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Viewed in aggregate, you can see that exports have an important and growing role in our state’s economy (graph below.) That data really comes alive when you can drill down and explore data trends in your own industry. 

Article Index:

  • USA Trade Online: Introductory article describing Census Export data. The accompanying video walks you through retrieving data in Excel format. Useful for casual consumers of Census data and to help orient you to what data is available.
  • Trade Data via the Census API and SSIS: This explains advanced retrieval methods that are needed for bulk-retrieval of Census data. At this stage we are creating a more comprehensive database. We are automating the method used to retrieve the data on a recurring  basis (ie., monthly).  
  • Georgia Exports in Power BI: Demonstration of a Power BI interface to summarize and visualize the 5 years of Census data retrieved. We learn what countries purchased Georgia goods and the manner they were delivered. Data is available as annual totals (2013-2018) for the state of Georgia. The model allows you to drill-down into the Harmonized Code system up to 6-digits.  
  • Change over time analysis using Power BI: This is an evolution of our original Power BI model that helps identify trends over time. Pick any two time periods, and the model shows total sales trends and what countries are responsible for the change. 
Jonathan Bartleson
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Jonathan Bartleson

Related

Change over Time Analysis in Power BI

·717 words·4 mins
In an earlier post I showed you a Power BI interface for summarizing Georgia export data from the US Census Bureau. If your primary interest is year totals, that model is useful for understanding our State’s export economy. But there are some questions that particular Power BI model does not answer. In particular, it does not address change over time questions like: What product categories have the greatest gain or loss? What countries were responsible for those gains and losses? This blog article and an accompanying video explain how the updated version of our Power BI model address these questions. The video takes you step-by-step through the system. The paragraphs and images below are a quick orientation for you. Note: clicking the images will increase their size.