PostgreSQL in Ubuntu...under construction ;)

# 1) Super user sudo su # 2) Looking for postgresql versions apt-cache search postgresql-9.* # 3) Installing on Ubuntu # 3.1) Create the file repository configuration: sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' # 3.2) Import the repository signing key: wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - # 3.3) Update the package lists: sudo apt-get update # 3.4) Install the latest version of PostgreSQL.

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Joining data with dplyr

1) Introduction What about knowing more about some important concepts around manipulating data sets? We definitely know how it is tough working in the real problems world, a lot of information sprawled in many databases. With the knowledge shared below you’ll probably find a solution that fits in your day-a-day as data scientists. Enjoy my folks! 2) Datasets parts <- readRDS('C://Users//andre//OneDrive//Documentos//Private//Salerno//Pessoal//Cursos//datacamp//dplyr//parts.rds') parts_categories <- readRDS('C://Users//andre//OneDrive//Documentos//Private//Salerno//Pessoal//Cursos//datacamp//dplyr//part_categories.rds') inventories <- readRDS('C://Users//andre//OneDrive//Documentos//Private//Salerno//Pessoal//Cursos//datacamp//dplyr//inventories.rds') inventory_parts <- readRDS('C://Users//andre//OneDrive//Documentos//Private//Salerno//Pessoal//Cursos//datacamp//dplyr//inventory_parts.rds') sets <- readRDS('C://Users//andre//OneDrive//Documentos//Private//Salerno//Pessoal//Cursos//datacamp//dplyr//sets.

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SQL Intermediate

1) Introduction This a set of exercises that around the SQL Intermediate course that I’ve studied at DataCamp (which I really recommend!). In fact, the databases used there was different that I’ve used here. In other to accomplish the goals of practice as you study, I studied a lot of new concepts of SQL language and I’ve tried to use in a different environment (RStudio) and a new dataset. I hope you enjoy a lot as I do!

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