# Select columns and date required
df <- df_raw %>%
filter(date_stamp == '30/06/2021') %>%
select(symbol, date_stamp, sector, asset_growth, roa, roe, leverage, ttm_earnings)
# Filter for top 5
df <- df %>% group_by(sector) %>% slice_max(order_by = ttm_earnings, n = 5)