Craigins
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- Joined
- Jun 10, 2021
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- Location
- Chicago Suburbs
- Vehicles
- Rivian R1T
- Occupation
- Software engineer
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- #1
Just so everything doesn't get lost in the mega thread with the poll, I compiled the links to the survey, the spreadsheet results, the dashboard results, and a geojson here:
https://rivian.craiginsdev.com/
I manually generate the geojson so it won't be in sync with the spreadsheet and dashboard.
Enjoy!
Just a quick edit: https://rivian.craiginsdev.com/index2.html has the clustering enabled if you want to drill down into specific areas
Updated 11/27 @ 6PM Eastern with some data trend interpretation / analysis by @Kialoa :
Started looking at the data in the spreadsheet a bit more closely. While there is data that seems to have errors attached (LE AND MaxPack), some duplicates, and some dates typed incorrectly, there is enough to extract trends. I tried to remove most of the suspect entries and made a series of wild assumptions to see what could be learnt from the few hundred remaining data-sets. So far I focused on LE R1T data only. My thoughts so far:
1. The strongest correlation to Projected Delivery Date seems to be the Pre-Order date (Black line in Fig).
2. Within the contiguous 48 states location does not seem to play a significant role
3. Outside the Contig-48 and for Canada the delay seems to be 3-4 quarters (red line below).
4. The Exterior Color, Wheels, Spare, Off-road-Upgrade, and Accessories do not seem to play a significant role
5. Interior Color DOES seem to influence delivery dates. Black Mtn seems to be prioritized. Ocean Coast seems to have a 1-8 week delay, and Forest Edge seems to have the longest delay (4-10 weeks).
Not sure if Excel Figs are legible in this forum, but just in case they are - one of the Figs. I generated is included below. With more data - and more QC of the data - quite a few conclusions could be extracted. Even with the data in hand there is more that could be done to look at non-LE orders, and look at all the R1S data.
Since the last Fig was readable - thought I'd share the estimated impact of the interior color selection. The Black Mtn data is not shown again (was on last Fig) - and is only indicated by black line here. Forest Edge data is in Green with Red Text - clearly right-shifted (delayed). On closer inspection Ocean Coast data (light blue, Black Text) is more complex. Almost seems like a bimodal distribution - SOME of the orders are minimally (0-1 week) delayed wrt Black Mtn. Anther set of orders almost overlap with Forest edge delays. As always, there are some outliers...
https://rivian.craiginsdev.com/
I manually generate the geojson so it won't be in sync with the spreadsheet and dashboard.
Enjoy!
Just a quick edit: https://rivian.craiginsdev.com/index2.html has the clustering enabled if you want to drill down into specific areas
Updated 11/27 @ 6PM Eastern with some data trend interpretation / analysis by @Kialoa :
Started looking at the data in the spreadsheet a bit more closely. While there is data that seems to have errors attached (LE AND MaxPack), some duplicates, and some dates typed incorrectly, there is enough to extract trends. I tried to remove most of the suspect entries and made a series of wild assumptions to see what could be learnt from the few hundred remaining data-sets. So far I focused on LE R1T data only. My thoughts so far:
1. The strongest correlation to Projected Delivery Date seems to be the Pre-Order date (Black line in Fig).
2. Within the contiguous 48 states location does not seem to play a significant role
3. Outside the Contig-48 and for Canada the delay seems to be 3-4 quarters (red line below).
4. The Exterior Color, Wheels, Spare, Off-road-Upgrade, and Accessories do not seem to play a significant role
5. Interior Color DOES seem to influence delivery dates. Black Mtn seems to be prioritized. Ocean Coast seems to have a 1-8 week delay, and Forest Edge seems to have the longest delay (4-10 weeks).
Not sure if Excel Figs are legible in this forum, but just in case they are - one of the Figs. I generated is included below. With more data - and more QC of the data - quite a few conclusions could be extracted. Even with the data in hand there is more that could be done to look at non-LE orders, and look at all the R1S data.
Since the last Fig was readable - thought I'd share the estimated impact of the interior color selection. The Black Mtn data is not shown again (was on last Fig) - and is only indicated by black line here. Forest Edge data is in Green with Red Text - clearly right-shifted (delayed). On closer inspection Ocean Coast data (light blue, Black Text) is more complex. Almost seems like a bimodal distribution - SOME of the orders are minimally (0-1 week) delayed wrt Black Mtn. Anther set of orders almost overlap with Forest edge delays. As always, there are some outliers...
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