文件列表:

Bellabeat_Data_Analysis_Using_R.md (22240, 2023-09-06)
Bike_Share_Data_Analysis_Using_R.md (24815, 2023-09-06)
Excel_Project.md (1289, 2023-09-06)
Excel_Project_Dataset.xlsx (211052, 2023-09-06)
SQL_Data_Cleaning.sql (4729, 2023-09-06)
SQL_Data_Exploration.sql (4989, 2023-09-06)

# Data-Analytics-Projects This repository contains a collection of my data analytics projects. Each project is contained within its own directory and includes the source code, data, a description of the project, and the results. ### Project List 1. [Bike-Share Data Analysis](https://github.com/saltwatersardine/Data-Analytics-Projects/blob/main/Bike_Share_Data_Analysis_Case_Study_Using_R.md) 2. [Bellabeat Data Analysis](https://github.com/saltwatersardine/Data-Analytics-Projects/blob/main/Bellabeat_Data_Analysis_Using_R.md) 3. [SQL Data Exploration](https://github.com/saltwatersardine/Data-Analytics-Projects/blob/main/SQL_Data_Exploration.sql) 4. [SQL Data Cleaning](https://github.com/saltwatersardine/Data-Analytics-Projects/blob/main/SQL_Data_Cleaning.sql) ### Software Projects in this repository will be analysed using the following software: - `R` programming language and `RStudio` IDE - `Python` programming language - `SQL`and `BigQuery` - `Excel` - `PowerBI` - `Tableu` You will also need to have the following R packages installed: - `tidyverse:` Helps wrangle data - `ggplot2:` Helps visualize data - `lubridate:` Helps wrangle data attributes - `readr:` Helps import data ('csv', 'tsv', and 'fwf') - `data.table:` Helps with large datasets - `dplyr:` Helps manipulate data You can install these packages by running the following code in R: ```r install.packages(c("tidyverse", "ggplot2", "lubridate", "readr", "data.table", "dplyr")) ``` Once packages are installed, you need to load them by running the library function: ```r library(tidyverse, ggplot2, lubridate, readr, data.table, dplyr) ```

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