CSS 300 Module 1 Lab Activity Worksheet

Use this worksheet to complete your lab activity. Submit it to the applicable assignment submission folder when complete.

Deliverable:

• Answers to the questions in Part 1
• An image of the results from Part 2

Part 1 – Getting to Know a Dataset

Download the US Weather Events dataset. You can find out more about this dataset at Kaggle’s US Weather Events (2016-2019).

 

Answer these questions to understand the US Weather Events dataset:

1. Where did the data come from? Is it static, or will it be updated on a consistent basis? Is it reliable?

 

 

 

2. Check the dimensions of the table. How many columns (aka – “Features”) are there? How many rows (aka – “records”?

 

 

 

3. What are the data types of each column? Are they continuous/numeric (numbers with a decimal point)? Are they integer (whole numbers)? Are they categorical (non-numeric, often text)?

Part 2 – Importing a Dataset in Python

 

If you need Python follow this link:

 

1. Import the Pandas package using the Anaconda install option: https://docs.continuum.io/anaconda/
2. Launch the Anaconda Application on your computer
3. Launch the Jupyter Application within Anaconda
4. Navigate to the folder with the dataset and run a New Python 3 Terminal within Jupyter
5. Import dataset from Part 1 by using the following code:

 

import pandas as pd

 

df = pd.read_csv(“US_WeatherEvents_2016-2019.csv”)

 

1. Print the data to the screen by using the following code:

 

df.head()

 

1. Print more information for the dataset by using the following code:

 

df.info()

 

Submit your ipynb file to D2L by the deadline.