Publications by Daniel Lee
Code Along 2 Chapter 5
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
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
Analyze the data for your client with respect to timing depth duration of downturns in sale. Make a plot...
116 sym
Document
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
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
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 Apply 1
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
Week 2 Apply to data
title: “Communication with RMarkdown” output: html_document: anchor_sections: TRUE code_folding: “show” highlight: tango number_sections: yes theme: bootswatch: solar toc: yes toc_depth: 2 pdf_document: toc: yes toc_depth: ‘2’ always_allow_html: true Import stock prices stocks <- tq_get(c("TSLA", "AMZN"), get = "st...
304 sym Python (1111 sym/3 pcs) 1 img
DAT3100: Apply 1 - SF rents
SF Rents: Build a regression model to predict the rent (price). Use the rent dataset. 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 ─────────────────────...
752 sym R (16164 sym/28 pcs) 3 img 3 tbl