Notebook_1

[R151Arushi]

Overview

In addition to the Notebook outline, here are a few points to add to the notebooks.
Our goal is to create an educational notebook that would help educate highschool students with little to no coding experience. Include textual examples and latex code whenever possible.

Introduction (Amisha)

Description, Learning Objectives.
(Refer to the previous notebook on the DS modules Github)

Introduction to Emissions and the Atmosphere (Abby)

Incorporate any images and concepts related to emissions and the atmosphere from the instructor. Define key terms.

Introduction to the Dataset (Abby)

Node: Exploratorium Bay
Timeline: 2022-01-01 23:00:00 to 2023-01-01 23:00:00
Refer to Data 100 lecture 05:

• explain terms like working w different file types
• Introduce a .csv
• Faithfulness of data (introduce terms like structure, granularity, scope, temporality, and faithfulness)

Exploratory Data Analysis I (Diego)

• Use table functions (https://drive.google.com/file/d/1j2hjhweJdGWW0EdvmjGHsXFUatXIZax4/view)
• How to see the number of rows and columns in a table.
• How to drop a column, how to add a column, and how to select specific columns.
• Using the methods and any other methods required answer the 2 questions.

Exploratory Data Analysis I (Amisha)

• Use this for reference (http://www.data8.org/su22/python-reference.html)
• use max min functions to show the date for maximum and minimum emissions.
• create visualizations using the data science package, and try to find trends and correlations.

[R151Arushi]

Complete