Publications by Bella Kalinyak
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Import Data ikea <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-11-03/ikea.csv') ## New names: ## Rows: 3694 Columns: 14 ## ── Column specification ## ─────────────────────────────────────────────...
253 sym R (111003 sym/35 pcs) 7 img 4 tbl
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1 Import stock prices of your choice 2 Convert prices to returns by quarterly 3 Make plot 4 Interpret the plot A typical quarterly return is higher for SBUX and BBW than for AEO and TM. 5 Change the global chunck options Hide the code, messages, and warnings...
275 sym 1 img
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Goal: to predict the rental prices is the SF rental market Click here for the data. Import Data rent <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-07-05/rent.csv') ## Rows: 200796 Columns: 17 ## ── Column specification ──────────────────────...
307 sym R (23894 sym/27 pcs) 5 img 3 tbl
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# Load packages # Core library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1 ## ✔ lubridate 1.9...
217 sym R (3022 sym/8 pcs) 1 img
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Import Data ikea <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-11-03/ikea.csv') ## New names: ## Rows: 3694 Columns: 14 ## ── Column specification ## ─────────────────────────────────────────────...
224 sym R (79933 sym/25 pcs) 6 img 4 tbl
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# Load packages library(tidyverse) library(tidyquant) Get stock prices and convert to retruns Ra <- c("TM", "SBUX", "AEO") %>% tq_get(get = "stock.prices", from = "2022-01-01") %>% group_by(symbol) %>% tq_transmute(select = adjusted, mutate_fun = periodReturn, period = "m...
368 sym R (3181 sym/11 pcs)
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Load packages library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ t...
131 sym R (2237 sym/11 pcs)
Document
# Load packages library(tidyverse) # core functions ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1 ## ✔ lubri...
59 sym R (2302 sym/8 pcs) 3 img
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# Load packages library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 �...
134 sym R (4433 sym/12 pcs)
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Goal: to predict the rental prices is the SF rental market Click here for the data. Import Data rent <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-07-05/rent.csv') ## Rows: 200796 Columns: 17 ## ── Column specification ──────────────────────...
303 sym R (39762 sym/24 pcs) 4 img 3 tbl