Tadge-Analytics

library(tidyverse)

my_penguins_plot <-
  palmerpenguins::penguins %>% 
  filter(!is.na(sex)) %>% 
  ggplot() +
  aes(bill_length_mm, body_mass_g, col = species) +
  geom_point(size = 5, alpha = 0.85) +

Tadge-Analytics

###################################################################

folder_path <- "diamond csv storage"

csv_file_path <- paste0(folder_path, "/diamonds.csv")

xlsx_file_path <- paste0(folder_path, "/diamonds.xlsx")

Tadge-Analytics

###################################################################

# Input data
# Create the Employment Range field which captures the employees full tenure at the company in the MMM yyyy to MMM yyyy format. 
# Work out for each year employed per person:
# Number of months they worked
# Their salary they will have received 
# Their sales total for the year
# For each Reporting Year (the individual year someone worked for us), calculate their cumulative months (called Tenure)

Tadge-Analytics

library(tidyverse)
library(readxl)


###################################################################


import <- 
  read_excel("PD 2021 Wk 48 Input.xlsx", col_names = F) %>% 

Tadge-Analytics

library(tidyverse)
library(readxl)


###################################################################

path_to_workbook <- "top_female_poker_players_and_events.xlsx"
workbook_sheets <- excel_sheets(path_to_workbook)

Tadge-Analytics

library(tidyverse)

import <- read_csv("original data/train_users.csv")

intro_month <- as.Date("2013-12-01")

set.seed(123)

tidy <- import %>% 
  filter(lubridate::year(date_account_created) >= 2013) %>% 

Tadge-Analytics

//Current month start date
DATETRUNC("month", [Reference date formula])


//Prev month start date
DATEADD("month", -1, [Current month start date])

Tadge-Analytics

library(tidyverse)
library(rvest)


google_scholar_urls <- tibble::tribble(
  ~name,                                                      ~url_path,
  "Tim Capon", "https://scholar.google.com/citations?user=mJeSBzAAAAAJ&hl=en",
  "Céline Nauges", "https://scholar.google.com/citations?hl=en&user=ehxgHeQAAAAJ",
  "Stéphane De Cara", "https://scholar.google.com/citations?hl=en&user=OjOkZwEAAAAJ",
  "Israel Finkelshtain", "https://scholar.google.com/citations?hl=en&user=ZBlt4VgAAAAJ",

Tadge-Analytics

library(tidyverse)
library(lubridate)


actuals <- seq.Date(today() - 400, today(), "day") %>% 
  tibble(Date = .) %>% 
  crossing(
    `Reporting Level 1` = paste0("Level 1_", LETTERS[1:3]),
    `Reporting Level 2` = paste0("Level 2_", LETTERS[1:3]),
    `Reporting Level 3` = paste0("Level 3_", LETTERS[1:4]), 

Tadge-Analytics

library(shiny)
library(shinydashboard)

library(tidyverse)
library(DT)


ui <- dashboardPage(
  
  dashboardHeader(title  = "Header"),