added files relevent to lab

README.md

@@ -0,0 +1,50 @@
+# MySQL Pokemon Report Queries
+
+### Goals
+* Become proficient selecting data out of a mysql database
+* Become comfortable performing a SQL join
+* Be able to format SQL output as a readable report
+
+## Instructions
+
+### Part 1: Importing data
+Directions:
+
+* In intellij, [connect to your local mysql instance](https://www.jetbrains.com/help/idea/connecting-to-a-database.html#mysql)
+* Create your pokemon schema
+* Unpack the pokemon_sql.zip files
+* One by one execute these files making sure to check your pokemon schema
+
+From here you should have all the pokemon data in your mysql schema. Feel free to explore the data and perform a few select statements to see what the data looks like.
+
+### Part 2: Simple Selects and Counts
+
+Directions: Write a sql query or sql queries that can answer the following questions
+
+* What are all the types of pokemon that a pokemon can have?
+* What is the name of the pokemon with id 45?
+* How many pokemon are there?
+* How many types are there?
+* How many pokemon have a secondary type?
+
+### Part 3: Joins and Groups
+Directions: Write a sql query or sql queries that can answer the following questions
+
+
+* What is each pokemon's primary type?
+* What is Rufflet's secondary type?
+* What are the names of the pokemon that belong to the trainer with trainerID 303?
+* How many pokemon have a secondary type `Poison`
+* What are all the primary types and how many pokemon have that type?
+* How many pokemon at level 100 does each trainer with at least one level 100 pokemone have? (Hint: your query should not display a trainer
+* How many pokemon only belong to one trainer and no other?
+
+### Part 4: Final Report
+
+Directions: Write a query that returns the following collumns:
+
+| Pokemon Name | Trainer Name | Level | Primary Type | Secondary Type |
+|:------------:|:------------:|:-----:|:------------:|:--------------:|
+| Pokemon's name| Trainer's name| Current Level| Primary Type Name| Secondary Type Name|
+
+Order the data by finding out which trainer has the strongest pokemon so that this will act as a ranking of strongest to weakest trainer. You may interpret strongest in whatever way you want, but you will have to explain your decision.