Welcome to class!

Reminder about resources

• “Potluck” prep assignment
• Work with peers
• Make your own cheat sheet

Anouncements

1. Always submit a halfway checkpoint even if you’re behind!
   • It’s the only hard due date
   • Think of it as a check in with “the boss”

Thoughts on P1 Halfway Checkpoint

1. Do your work in .py or .ipynb file, write-up in .qmd
2. Making/submitting a video: Loom
3. alt.Save() Quarto
4. Graphics for Communication
5. Plotly.Express Resources

Let’s practice!

Explore the data

import plotly.express as px
import pandas as pd
import numpy as np

url = "https://github.com/byuidatascience/data4names/raw/master/data-raw/names_year/names_year.csv"
names = pd.read_csv('names_year.csv')

names.head()
names.describe()

What do you want the chart to look like?

What types of charts are there?

What data do you need to make that chart?

# names[['name'],['year']] vs. names.query()

kobe = names.query("name == 'Kobe'")[["name", "year", "Total"]]
kobe2 = names.query("name == 'Kobe'").filter(items=["name", "year", "Total"])

# method chaining with ()