CSS 300 Module 1 Lab Activity Worksheet
\nUse this worksheet to complete your lab activity. Submit it to the applicable assignment
\nsubmission folder when complete.
\nDeliverable:
\n– Answers to the questions in Part 1
\n– An image of the results from Part 2
\nPart 1 – Getting to Know a Dataset
\nDownload the US Weather Events dataset. You can find out more about this dataset at Kaggle\u2019s
\nUS Weather Events (2016-2019).
\nAnswer these questions to understand the US Weather Events dataset:
\n1. Where did the data come from? Is it static, or will it be updated on a consistent basis?
\nIs it reliable?
\n2. Check the dimensions of the table. How many columns are there? How many rows?
\n3. What are the data types of each column? Are they continuous\/numeric? Are they
\ninteger? Are they categorical?
\nPart 2 \u2013 Importing a Dataset in Python
\nIf you need Python follow this link:
\n1. Import the Pandas package using the Anaconda install option:
\nhttps:\/\/docs.continuum.io\/anaconda\/
\n2. Launch the Anaconda Application on your computer
\n3. Launch the Jupyter Application within Anaconda
\n4. Navigate to the folder with the dataset and run a New Python 3 Terminal within Jupyter
\n5. Import dataset from Part 1 by using the following code:<\/p>\n
import pandas as pd
\ndf = pd.read_csv(“US_WeatherEvents_2016-2019.csv”)
\n6. Print the data to the screen by using the following code:
\ndf.head()
\n7. Print more information for the dataset by using the following code:
\ndf.info()<\/p>\n
11 hours ago<\/p>\n
24.01.2022<\/p>\n
—<\/p>\n
Worksheet for CSS 300 Module 1 Lab Activity
\nTo finish your lab activity, use this worksheet. Please submit it to the appropriate assignment.<\/p>\n
When you’re finished, place it in the submission folder.<\/p>\n
Deliverable:<\/p>\n
– Answers to Part 1’s questions<\/p>\n
– An image of the Part 2 results<\/p>\n
Part 1: Learning About a Dataset<\/p>\n
The US Weather Events dataset is available for download. You may learn more about this dataset on Kaggle’s website.<\/p>\n
US Weather Events (2016-2019).<\/p>\n
To learn more about the US Weather Events dataset, answer the following questions:<\/p>\n
1. Where did you get the information? Is it going to be static or will it be updated on a regular basis?<\/p>\n
Is it trustworthy?<\/p>\n
2. Examine the table’s dimensions. What is the total number of columns? How many rows are there?<\/p>\n
3. What data types are in each column? Are<\/p>\n","protected":false},"excerpt":{"rendered":"
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