| Révision | f779821ae162ec2a11c3780af2954eeefcd42505 (tree) |
|---|---|
| l'heure | 2024-11-22 23:21:26 |
| Auteur | Lorenzo Isella <lorenzo.isella@gmai...> |
| Commiter | Lorenzo Isella |
I added some stats at the end of the code.
R-codes/sectorial_analysis_scoreboard.R (diff)| @@ -480,4 +480,26 @@ | ||
| 480 | 480 | ggsave("../output/expenditure_sector_no_covid_ukr.pdf", gpl, width=10,height=15, device = cairo_pdf) |
| 481 | 481 | |
| 482 | 482 | |
| 483 | +top_sectors_no_covid_ukr <- expenditure_sector_year_no_covid_ukr |> | |
| 484 | + filter(top=="yes") |> | |
| 485 | + pull(nace1) |> | |
| 486 | + su() | |
| 487 | + | |
| 488 | + | |
| 489 | + | |
| 490 | +df_recent_nace1 <- df_recent_clean_nace |> | |
| 491 | + mutate(nace1=df_sec$sector) | |
| 492 | + | |
| 493 | + | |
| 494 | +df_top_nace <- df_recent_nace1 |> | |
| 495 | + filter(nace1 %in% top_sectors_no_covid_ukr) |> | |
| 496 | + group_by(expenditure_year, nace1, sa_case_number) |> | |
| 497 | + summarise(total_aid=sum(aid_element_eur, na.rm=T), .groups="drop") |> | |
| 498 | + group_by(expenditure_year, nace1) |> | |
| 499 | + arrange(desc(total_aid)) |> | |
| 500 | + slice(1:5) |> | |
| 501 | + ungroup() | |
| 502 | + | |
| 503 | + | |
| 504 | + | |
| 483 | 505 | print("So far so good") |
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