Project 1 Workbook

Course DS 250

Author

Brother Clark

Project 1 WorkBook

Tutoring Lab Info

The data science lab is a resource you can use in person, online, and in Slack.

Introduction to Markdown Language

Surround ```chunks of code``` with ``` or a single line of `code` with `
Follow the first set of ``` with the words `python`

```python
# setup
import pandas as pd
import numpy as np
import plotly.express as px
```


# setup

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

Text Basics

Horizontal Lines

Add horizontal lines with either three ---, ***, or ___ But you also need blank lines above and below them


Headers

# Level 1 Header
## Level 2 Header
### Level 3 Header
#### Level 4 Header
##### Level 5 Header
###### Level 6 Header

Note: only top 3 Levels of Headers will automatically generate a table of contents.
Also Level 2 will automatically add a line underneath it.

Level 1 Header

Level 2 Header

Level 3 Header

Level 4 Header

Level 5 Header
Level 6 Header

Italics and Bold

_italics_ use one `_`
you can also use _mid_ sentence

__bold__ use two `__`
you can also use __mid__ sentence

italics use one _ you can also use mid sentence

bold use two __ you can also use mid sentence

Bullet Items

- Bulleted items
  - Indented bulleted items
  - You can have as many as you want
    - Really as many as you want
      - I knew you wanted one more
  • Bulleted items
    • Indented bulleted items
    • You can have as many as you want
      • Really as many as you want
        • I knew you wanted one more bullet

Numbered Items

1. Numbered items
1. Numbered items continued
1. Dont worry these will iterate
1. Keep using 1. each time
  1. Numbered items
  2. Numbered items continued
  3. Dont worry these will iterate
  4. Keep using 1. each time

Intro to Pandas

Pandas DataFrame (df)

What is a pandas dataFrame? We can read the official documentation. I also like the video in this tutorial.

Use the Import Packages and Load df for the Code that follows.

Import Packages

import `library` as `alias`
Import Libraries
#| label: libraries
#| include: false
import pandas as pd
import numpy as np
import plotly.express as px

from IPython.display import Markdown
from IPython.display import display

Load Data

df = pd.read_csv(`url` or `file_path`)
Load Data
#| label: project data
#| code-summary: Read and format project data
# Include and execute your code here
url = "https://github.com/byuidatascience/data4names/raw/master/data-raw/names_year/names_year.csv"
df = pd.read_csv(url)

Data Frames come with attributes and built-in functions that can help us get a feel for our df.

Run the code below one at a time (or use other functions of your choice) to explore the names df. What do you learn?

.columns
df.columns
.shape
df.shape
.size
df.size
.head()
df.head()
.describe()
df.describe()

Pandas Data Transformation

Getting started with Lets-Plot

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