evamizer/dsc-filtering-lab-v2-4

Filtering Data with SQL - Lab

Introduction

NASA wants to go to Mars! Before they build their rocket, NASA needs to track information about all of the planets in the Solar System. In this lab, you'll practice querying the database with various SELECT statements. This will include selecting different columns and implementing other SQL clauses like WHERE to return the data desired.

Objectives

You will practice the following:

• Retrieve a subset of records from a table using a WHERE clause
• Filter results using conditional operators such as BETWEEN, IS NULL, and LIKE
• Apply an aggregate function to the result of a filtered query

Connecting to the Database

To get started, import sqlite3 as well as pandas for conveniently displaying results. Then, connect to the SQLite database located at planets.db.

# Your code here

Database Schema

This database contains a single table, planets. This is the schema:

CREATE TABLE planets (
  id INTEGER PRIMARY KEY,
  name TEXT,
  color TEXT,
  num_of_moons INTEGER,
  mass REAL,
  rings BOOLEAN
);

The data looks something like this:

id	name	color	num_of_moons	mass	rings
1	Mercury	gray	0	0.55	FALSE
2	Venus	yellow	0	0.82	FALSE
3	Earth	blue	1	1.00	FALSE
4	Mars	red	2	0.11	FALSE
5	Jupiter	orange	67	317.90	FALSE
6	Saturn	hazel	62	95.19	TRUE
7	Uranus	light blue	27	14.54	TRUE
8	Neptune	dark blue	14	17.15	TRUE

SQL Queries

Write SQL queries for each of the statements below using the same pandas wrapping syntax from the previous lesson.

1. Select just the name and color of each planet

# Your code here

2. Select all columns for each planet whose num_of_moons is 0

# Your code here

3. Select the name and mass of each planet whose name has exactly 7 letters

# Your code here

4. Select all columns for each planet whose mass is greater than 1.00

# Your code here

5. Select the name and mass of each planet whose mass is less than or equal to 1.00

# Your code here

6. Select the name and mass of each planet whose mass is between 0 and 50

# Your code here

7. Select all columns for planets that have at least one moon and a mass less than 1.00

Hint: You can use AND to chain together two conditions in SQL, similar to and in Python

# Your code here

8. Select the name and color of planets that have a color containing the string "blue"

# Your code here

9. Select the count of planets that don't have rings as planets_without_rings

Note: even though the schema states that rings is a BOOLEAN and the example table shows values TRUE and FALSE, SQLite does not actually support booleans natively. From the documentation:

SQLite does not have a separate Boolean storage class. Instead, Boolean values are stored as integers 0 (false) and 1 (true).

# Your code here

10. Select the name of all planets, along with a value has_rings that returns "Yes" if the planet does have rings, and "No" if it does not

# Your code here

Summary

Congratulations! NASA is one step closer to embarking upon its mission to Mars. In this lab, You practiced writing SELECT statements that query a single table to get specific information. You also used other clauses and specified column names to cherry-pick the data we wanted to retrieve.