Good morning, community! A new Just KNIME It! challenge just came out. This week, let’s go extra fancy with some more complex visualizations for an e-commerce application. The key here is the Generic ECharts View node – a very flexible tool to hone your dashboarding skills!
Here is the challenge. Let’s use this thread to post our solutions to it, which should be uploaded to your public KNIME Hub spaces with tag JKISeason3-22 .
Need help with tags? To add tag JKISeason3-22 to your workflow, go to the description panel in KNIME Analytics Platform, click the pencil to edit it, and you will see the option for adding tags right there. Let us know if you have any problems!
In the end opted to follow available examples to create the relevant objects etc. for the sankey diagram. Keen to see if someone manages to wrangle that all no code!
Here’s my solution. I took the “top10 expenditures” literally and excluded prices which were not final purchases. This makes the sankey chart data pretty sparse. In interest of full disclosure I borrowed some of @MartinDDDD’s sankey workflow.
For me the hardest part was the “concept”. If I got it right it could be in the data that someone is purchasing but there is no record for them to “view” or “cart” the item. So I generated that, and filtered the TOP10 customers for just the purchasing customers, etc, etc. So it was really interesting and conceptually a challanging one.
Hi all,
Here is my solution. I enabled the specification of columns using variables, allowing the Sankey Diagram to be adapted for other data with minimal modifications.
I used to find it difficult to handle Generic ECharts View nodes, but I am excited that by using K-AI, it was so easy to make each visualisation. It is very useful!!
Hello hello, folks! As always on Tuesdays, here’s our solution to last week’s Just KNIME It! challenge.
I can see that we all got to somewhat similar solutions! Are you as excited about the Generic ECharts View node as we are? Both visualizations are so useful for businesses! And really easy to configure and create with this node.
See you tomorrow for a challenge on statistics: an area we don’t explore much but are ready to take a dive in!