Publications by Tuguldur.p
112035132/12.19/
#question_1 library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union responses <- read.csv("/cloud/project/multipleChoiceResponses.csv", header = TRUE, stringsAsFactors = FA...
27 sym R (8572 sym/19 pcs) 5 img
Document
title: “Untitled” output: html_document date: “2023-11-28” — library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union path_bike_orderlines <- "bike_orderlines.rds"...
77 sym R (1846 sym/9 pcs)
112035132_onclass_hw
bike_orderlines_tbl <- readRDS("bike_orderlines (1).rds") library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(ggplot2) bikeshop_revenue <- bike_orderlines_tbl...
9 sym R (1039 sym/5 pcs) 1 img
112035132_midterm
# Load necessary libraries library(magrittr) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(tidyr) ## ## Attaching package: 'tidyr' ## The following objec...
26 sym R (6083 sym/23 pcs)
week7_homework5_112035132_P
#question1 library(readxl) bike_orderlines <- read_excel("bike_orderlines.xlsx") unique_categories_1 <- unique(bike_orderlines$category_1) unique_categories_2 <- unique(bike_orderlines$category_2) unique_frame_materials <- unique(bike_orderlines$frame_material) unique_categories_1 ## [1] "Mountain" "Road" unique_categories_2 ## [1] "Over Mountai...
23 sym R (3592 sym/20 pcs)
week4_homework3_112035132_investment(c)
library(readr) library(tidyr) stock_df <- read_csv("stock_df.csv") ## Rows: 5 Columns: 106 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (1): company ## dbl (105): 2019...
595 sym R (1287 sym/6 pcs) 1 img
week2_homework1_112035132_investment(c)
library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0 ## ...
9 sym R (3410 sym/6 pcs)
week6_howework4_112035132_investment(c)
library(readr) library(tidyr) stock_df <- read_csv("stock_df.csv") ## Rows: 5 Columns: 106 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (1): company ## dbl (105): 2019...
595 sym R (1287 sym/6 pcs) 1 img
week4_homework3_112035132_investment(a).Rmd
library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 ## ...
7 sym R (7831 sym/4 pcs)
week3_homework2_112035132_investment(c)
if (!require("pacman")) install.packages("pacman") ## Loading required package: pacman library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(scales) bike_orderli...
12 sym R (2090 sym/9 pcs)