NDIS
2023-03-03
Data source
The DNIS data can be found here: https://data.ndis.gov.au/data-downloads#market
Definitions and Explanations
Participant Data: is about NDIS participants, including total number of participants, average committed supports and average payments.
Market Data: is about the NDIS market, including information on provider concentration, total payments, total committed supports, and utilisation.
Provider Data: is about providers, including information on active providers, participants per provider, provider growth and provider shrinkage.
Active participitation by age (National level)
p1 <- ggplot(data = df, aes(x=Age_Group , y=Active_participants ) )
p2 <- p1 + geom_col()
p3 <- ggplotly(p2)
p3p1<-ggplot(data = df, aes(x=Age_Group , y = Average_committed_support) )
p2 <- p1+geom_col()
p2
p1<-ggplot(data = df, aes(x=Age_Group , y = Average_payments) )
p2 <- p1+geom_col()
p2
Active participitations from 2022 to 2023
You can also embed plots, for example:
Disability level of function
Commited Support and payment for different disability types
For disability type 14 and type 15 the actual payment are significantly lower than the commited amount.
Missing category is the only category that payments amount exceeds commited amount and this matter raise the question of why this type is missing.
## # A tibble: 16 × 3
## Level_of_Function Average_committed_support Average_payments
## <chr> <dbl> <dbl>
## 1 LvlofFn_01 763468 435341
## 2 LvlofFn_02 1137562 664558
## 3 LvlofFn_03 1190952 764749
## 4 LvlofFn_04 996608 617691
## 5 LvlofFn_05 1577573 1087068
## 6 LvlofFn_06 1336536 866887
## 7 LvlofFn_07 2511429 1864008
## 8 LvlofFn_08 2972562 2065665
## 9 LvlofFn_09 4101517 2760841
## 10 LvlofFn_10 5028898 3687919
## 11 LvlofFn_11 4825412 3793436
## 12 LvlofFn_12 9044251 7181108
## 13 LvlofFn_13 4970411 3964254
## 14 LvlofFn_14 14423432 1196345
## 15 LvlofFn_15 23290966 2010141
## 16 LvlofFn_Missing 15998744 17487910