generated from mwc/lab_pokemon
af31fa8d77
9.11.2023
I wrote code for visualization of data with filtering and plotting using
Pandas and Seaborn.
Unit 2, lab_pokemon Questions
Can you limit what shows in Seaborn "hue"? In one dataset, I wanted to
only have a specific age range from 55 - 65+ instead of all the age
ranges.
Why is matplotlib not the best for plotting while it's the backend of
Seaborn? I did read that it's slow with large datasets. I've used
MS Visio and Excel, and ESRI ArcGIS for data visualization.
I found out from trial and error that when I opened "jupyter lab,
lab_pokemon.ipynb" during another session to complete the assignment,
I had to Shift + Enter after each:
import pandas as pd
pokemon = pd.read_csv("pokemon.csv")
people = pd.read_csv("brfss_2020.csv")
import seaborn as sns
sns.set_theme()
Otherwise I kept having errors while visualizating the error.
Other data sets to explore would be diving age groups arrested under
the influence in the different types of influece, migration of whales,
and low-lying land areas prone to flooding used from GIS data.
I watched your Pokemon video, but I'd like to find out how I could get
data from my viewing Acorn and Brit TV. Then use it either by filtering
or plotting.
I like this assignment with having the experience using Pandas
and Seaborn. I will go through the tuitorials with Seaborn website.
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| .commit_template | ||
| .gitignore | ||
| brfss_2020.csv | ||
| brfss_2020.ipynb | ||
| lab_pokemon.ipynb | ||
| pokemon.csv | ||
| pyproject.toml | ||