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library(tidyverse) | |
library(plotly) | |
library(ggrepel) | |
# LENDO DADOS ---------------------------------------------------------------- | |
# DISPONÍVEIS EM https://www.kaggle.com/moraesvic/tiktok-data-from-most-followed-accounts-2022 | |
tt_data <- read_csv("~/tt_data.csv") | |
# CLASSIFICANDO ------------------------------------------------------- |
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library(tidyverse) | |
library(lubridate) | |
library(plotly) | |
# LE DADOS ---------------------------------------------------------------- | |
gastos_dataset <- read_csv("Gastos federais com redes sociais - Núcleo Jornalismo - 7.dez.2021 - dados.csv") %>% | |
janitor::clean_names() | |
# Remove estornos |