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Well done!
You have completed Intro to Seaborn!
You have completed Intro to Seaborn!
Preview
Great job getting set up! Now it's time to challenge you to make some scatter plots.
Challenge
- What is the relationship between:
- Level and Attack Points?
- Level and Defense Points?
Bonus: use sns.relplot(kind='scatter') to solve one of these questions.
Solution
sns.scatterplot(data=monsters, x='Level', y='Attack Points')
sns.relplot(kind='scatter', data=monsters, x='Level', y='Defense Points')
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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
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