Jkim516 / dsc-selecting-data-lab-seattle-ds-062419

Selecting Data - 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 employ other SQL clauses like WHERE to return the data desired.

Objectives

You will be able to:

• Retrieve all the information from a table
• Retrieve a subset of records from a table using a WHERE clause
• Retrieve a subset of columns from a table

Connecting to the DataBase

To get started, connect to the database titled planets.db. Don't forget to also make a cursor so that you can later execute your queries.

#Your code here

Selecting Data

Here's an overview of the planet's table you'll be querying.

name	color	num_of_moons	mass	rings
Mercury	gray	0	0.55	no
Venus	yellow	0	0.82	no
Earth	blue	1	1.00	no
Mars	red	2	0.11	no
Jupiter	orange	67	317.90	no
Saturn	hazel	62	95.19	yes
Uranus	light blue	27	14.54	yes
Neptune	dark blue	14	17.15	yes

Write SQL queries for each of the statements below.

Select just the name and color of each planet

#Your code here

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

	name	color
0	Mercury	gray
1	Venus	yellow
2	Earth	blue
3	Mars	red
4	Jupiter	orange
5	Saturn	hazel
6	Uranus	light blue
7	Neptune	dark blue

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

#Your code here

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

	id	name	color	num_of_moons	mass	rings
0	5	Jupiter	orange	68	317.90	0
1	6	Saturn	hazel	62	95.19	1
2	7	Uranus	light blue	27	14.54	1
3	8	Neptune	dark blue	14	17.15	1

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

#Your code here

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

	name	mass
0	Mercury	0.55
1	Venus	0.82
2	Earth	1.00
3	Mars	0.11

Select the name and color of each planet that has more than 10 moons

#Your code here

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

	name	color
0	Jupiter	orange
1	Saturn	hazel
2	Uranus	light blue
3	Neptune	dark blue

Select the planet that has at least one moon and a mass less than 1.00

#Your code here

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

	id	name	color	num_of_moons	mass	rings
0	3	Earth	blue	1	1.00	0
1	4	Mars	red	2	0.11	0

Select the name and color of planets that have a color of blue, light blue, or dark blue

#Your code here

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

	name	color
0	Earth	blue
1	Uranus	light blue
2	Neptune	dark blue

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.