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Intro to Seaborn

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Challenge: Scatter Plot

3:26 with AJ Tran

Great job getting set up! Now it's time to challenge you to make some scatter plots.

Great job getting set up. 0:00
Now it's time to challenge you to make some scatter plots. 0:02
What is the relationship between Level and Attack Points and 0:06
Level and Defense Points? 0:10
Bonus: use sns.relplot(kind='scatter') to solve one of these questions. 0:13
The seaborn library has many functions to achieve the same plots. 0:20
For each of the following challenges, 0:24
I'll drop a bonus hint into which ones you can use. 0:26
You can find all of these functions in the seaborn API documentation. 0:30
Now it's time to take the challenge. 0:35
Pause me and try it out on your own. 0:38
What is the relationship between Level and Attack Points? 0:41
To draw a scatterplot, 0:46
we can call sns.scatterplot(data=monsters, 0:50
x='Level', y='Attack Points'). 0:57
Remember that these parameters can be found in 1:06
the previous cell when we called monsters.head(). 1:10
They are the headings to each of these columns. 1:16
And it looks like I'll have a typo here. 1:22
I need Attack_Points. 1:24
Nice, there seems to be a general positive correlation between Level and 1:34
Attack Points. 1:39
As Level gets higher, so do Attack Points. 1:41
How about for Defense Points? 1:46
Let's do one with the bonus hint, sns.relplot. 1:48
In Jupyter Lab, you can use the shift tab keyboard combo on a function to open 1:54
the method signature documentation to get more information about that function. 1:59
It looks like this function is set up similarly to 2:04
the scatterplot function where we have data, x, and y. 2:08
When I scroll down, there's documentation about what relplot is used for. 2:15
Feel free to read through this. 2:20
It's the same as what is in the seaborn API documentation from their website. 2:24
Let's use this function, 2:29
sns.relplot(data=monsters, x='Level', 2:33
y='Defense_Points'), with an underscore. 2:40
The default kind for the relplot is a scatter plot, 2:52
but we can be explicit by setting kind='scatter'. 2:58
Let's run the cell. 3:03
And we've got a scatterplot that shows a general 3:05
positive correlation between Level and Defense Points. 3:09
Generally, as Level increases, so do the Defense Points. 3:13
Awesome, are you ready for the next challenge? 3:20
I'll catch you there. 3:23