Publications by Daniel Lee

Professional Development Fund (PDF)

14.09.2023

Table of contents By Academic Year By Category By Academic Year & By Category Table Definitions of Categories Professional Development Fund (PDF) Academic Year 2020-2023 By Academic Year By Category By Academic Year & By Category Table Definitions of Categories Conference: Presentations and/or attendance at conferences. Membership: Membersh...

872 sym 3 img

Code Along 2 chapter 4

13.09.2023

Coding basics R as a calculator 1000 / 10 ## [1] 100 x <- 1000 / 10 # x assignment symbol What’s in a name? Calling functions Use of TAB seq(from = 1, to = 10, by = 1) ## [1] 1 2 3 4 5 6 7 8 9 10 continuation character, + seq(from = 1, to = 10) ## [1] 1 2 3 4 5 6 7 8 9 10 Printing to screen y <- seq(from = 1, to = 10) ...

171 sym Python (231 sym/9 pcs)

Code Along 2 Chapter 5

13.09.2023

Import data flights ## # A tibble: 336,776 × 19 ## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time ## <int> <int> <int> <int> <int> <dbl> <int> <int> ## 1 2013 1 1 517 515 2 830 819 ## 2 2013 1 1 533 529 ...

210 sym Python (20154 sym/51 pcs) 1 img

Apply 2

13.09.2023

Import stock prices stocks <- tq_get(c("APPL", "NKE"), get = "stock.prices", from = "2016-01-01", to = "2017-01-01") ## Warning: There was 1 warning in `dplyr::mutate()`. ## ℹ In argument: `data.. = purrr::map(...)`. ## Caused by warning: ## ! x = 'APPL', get = 'stock.prices': Error in getSymbols...

352 sym Python (7747 sym/37 pcs) 2 img

BUS1400 Week 3: Real World Applications 2

13.09.2023

Analyze the data for your client with respect to timing depth duration of downturns in sale. Make a plot...

116 sym

Document

13.09.2023

Explore data ## ── 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 ## ✔ pu...

2575 sym Python (5516 sym/18 pcs) 4 img

code along 2 chapter 5

12.09.2023

Import Data flights ## # A tibble: 336,776 × 19 ## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time ## <int> <int> <int> <int> <int> <dbl> <int> <int> ## 1 2013 1 1 517 515 2 830 819 ## 2 2013 1 1 533 529 ...

539 sym Python (19267 sym/49 pcs) 1 img

code along 2 chapter 4

12.09.2023

Coding basics R as a calculator 1000 / 10 ## [1] 100 x <- 1000 / 10 # x assignment symbol What’s in a name? Calling functions Use of TAB y <- seq(from = 1, to = 10) y ## [1] 1 2 3 4 5 6 7 8 9 10 continuation character, + Printing to screen...

167 sym Python (103 sym/5 pcs)

Financial Analytics Code Along 1

12.09.2023

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Financial analytics Apply 1

12.09.2023

Import stock prices stocks <- tq_get(c("NKE", "UAA"), get = "stock.prices", from = "2016-01-01") stocks ## # A tibble: 3,870 × 8 ## symbol date open high low close volume adjusted ## <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ## 1 NKE 2016-01-04 61.1 61.9 60.9 61.5 11626...

50 sym Python (1050 sym/3 pcs) 1 img