If you want to mark yourself so long ... below the latest ...
ID,Value
May_food and non-alcoholic beverages,117.7
May_alcoholic beverages and tobacco,110.6
May_clothing and footwear,104.1
May_housing and utilities,104.6
May_household contents and services,107.5
May_health,110.3
May_transport,113.3
May_communication,99.7
May_recreation and culture,104.8
May_education,110.4
May_restaurants and hotels,110.4
May_miscellaneous goods and services,109.4
May_headline CPI,109.6
@Koleshjr - this time, you first ...
should we wait for the updated values, based on Bwenge's discussion?
Let's clarify first ... if you want to dare you can give your result based on my data above, but that is *urban* cpi.
I recall somewhere it was clarified that we need to predict urban CPI but can not find it now ... so what is it, urban or whole country?
From the information, it wasn't specified as either Urban or Country, the only thing I'm seeing here is south Africa itself, I guess we should wait for more clarity from Amy And also the final score of the private leaderboard
Well, the leaderboard broke its silence. Congrats @Koleshjr that is a very respectable 3rd! Impressive. The big surprise, for me but I think generally also, is the food and transport that both came in lower than expected, causing overall to also register a bit lower. Oh well - how's your items?
Honestly, its thanks to my teammate that we are actually at 3rd place. Thanks @Ebiendele, here are our item values:
ID Value
May_alcoholic beverages and tobacco 110.410579
May_clothing and footwear 103.8767638
May_communication 99.79185706
May_education 110.643162
May_food and non-alcoholic beverages 118.0558984
May_headline CPI 109.7929036
May_health 109.7092747
May_household contents and services 108.201193
May_housing and utilities 104.6300213
May_miscellaneous goods and services 109.2947754
May_recreation and culture 104.4690914
May_restaurants and hotels 109.9443795
May_transport 113.7407262
Seems like there are some errors:
May_food and non-alcoholic beverages is 118.0
May_teansport is 113.7,
May_miscellaneous goods and services is 109.0
I'm using table E from https://www.statssa.gov.za/publications/P0141/P0141May2023.pdf
The problem is that table E is only for Urbans areas:
try to use additional tables: https://www.statssa.gov.za/publications/P0141/P0141May2023_Tables.pdf
Oh no!!!!
I thought this comp was about urban only.
I also think that this is about the urban areas.
For me, it's table E. @Bwenge840 Look at, values and prior change match with data shared by zindi.
I got you