Publications by Daniel Lee
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...
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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 ─────────────────────...
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Apply It To Your Data
Import stock prices stocks <- tq_get(c("TSLA", "NFLX", ""), get = "stock.prices", from = "2016-01-01") stocks ## # A tibble: 3,864 × 8 ## symbol date open high low close volume adjusted ## <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ## 1 TSLA 2016-01-04 15.4 15.4 14.6 14....
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Code along
Welcome Ch1 Introduction The data science project workflow Prerequisites R RStudio r packages Install the tidyverse package Running R code 1+2 ## [1] 3 Getting help Google Stackoverflow Ch2 Introduction to Data Exploration Ch3 Data Visualization Set up library(tidyverse) data mpg ## # A tibble: 234 × 11 ## manufacturer model di...
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FIN3100 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 ─────────────────────...
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Code Along 1
Welcome Ch1 Introduction The data science project workflow Prerequisites R RStudio r packages Install the tidyverse package Running R code Getting help Google Stackoverflow Ch2 Introduction to Data Exploration Ch3 Data Visualization Set up library(tidyverse) data mpg ## # A tibble: 234 × 11 ## manufacturer model displ year ...
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Apply Your Data 1
Import stock prices stocks <- tq_get(c("MSFT", "COKE", "DIS"), get = "stock.prices", from = "2019-01-01", to = "2020-01-01") stocks ## # A tibble: 756 × 8 ## symbol date open high low close volume adjusted ## <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ## 1 MSFT ...
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Code Along 1
Welcome Ch1 Introduction The data science project workflow Prerequisites R RStudio r packages Install the tidyverse package Running R code 1+2 ## [1] 3 Getting help Google Stackoverflow Ch2 Introduction to Data Exploration Ch3 Data Visualization Set up library(tidyverse) data mpg ## # A tibble: 234 × 11 ## manufacturer model di...
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ATV Tour Customer Review Analysis
Table of contents Data Analysis Map of ATV Tours and Their Characteristics ATV Tour Characteristics Price and Customer Ratings Tour Duration and Customer Ratings ATV Tour Characteristics and Customer Ratings Customer Reviews Analysis Quantifying Insights in Tangible Value. Summary ATV Tour Customer Review Analysis based on data scraped from tri...
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Leveraging Data Analysis to Address Seasonality in the Tourism Industry: Insights from the Ski Business (Part1)
Table of contents Data Map of Ski Areas Analysis Overview Number of Ski Areas by Types Avg. Number of Customer Reviews by Types Avg. Ski Area Ratings by Types Leveraging Data Analytics to Address Seasonality in the Tourism Industry: Insights from the Ski Business Part1: diversification within ski areas, examining how they expand their offerings ...
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