Hello All! I am struggling with the following problem: I have two tables representing listing of items at two different timeframes (Year 1 and Year 2). Every item is unique and represented by a serial number [ID] column and a location (the country is the column [Geo]). Each table have ID and Geo columns, but the two tables have different number of rows as some items have been added and some have been removed. The aim of my analisys is to trace (keeping the possibility to drill down the data to the "history" of the single ID): 1. Changes in the "fleet": number of IDs added in Year 2, number of ID removed in Year 2, number of ID present in both years; 2. Changes in the location of the IDs that are present in both years (if any), locations where new items (year 2) have been introduced, locations where items have been retired.
Furthermore, I have to represent those information with a chart - I was thinking at chord chart, but should you have any suggestion I am very open to them! Many thanks!
@v-eachen-msft thank you for your interest! Unfortunately my dataset is confidential, but I created an easy example (which much less entries) to better explain my problem.
I have two tables, let's call them Year1 and Year2 made of 2 columns each (ID and Location). ID represent a unique element that may be present in Year 1, Year 2 or both. The example dataset is in the picture below:
My goal is to compare the two tables highlighting the dynamics happened from year 1 to year 2 in relation with ID and Location. In the picture below I'm sharing the type of results I want to achieve (divided in two levels):
1) General Analysis (left side): How many additions, how many confirmation and how many retirements from year 1 to year 2; and for the confirmed items how many has changed location and how many have kept it. While doing so, I'd like to be able to drill down to IDs of the items.
2) Flows (right side): Visualize the changes in Location associated to the items, again being able to drill down to the single ID.
I hope this simple example clarifies a little bit my question. Of course I am also thinking about a graphical way to represent those data in a clear way (chord visual?)