Computer Science Question

Pairing publicly available weather data with retail sales data can offer valuable insights for businesses and society. Analyzing these datasets together allows retailers to optimize their operations based on weather conditions.

• Weather Data: This dataset contains historical weather information, including temperature, precipitation, humidity, and wind speed from 2005 – 2016. Link: https://www.kaggle.com/datasets/muthuj7/weather-dataset?select=weatherHistory.csv

Retail Sales Data: This dataset includes sales data for various retail stores, including sales figures, products sold, and customer demographics from 2009-2011. Link: https://www.kaggle.com/datasets/lakshmi25npathi/online-retail-dataset

Please report accomplishments on each of the following steps in a Word document:

• Identify the best technology to conduct data conversion, data cleaning, and data munging. Apply those techniques to your selected dataset and produce a single merged dataset for further analysis.
• Identify the research question/or a broader goal and what characteristics (variables) you will need to study.
• Identify the need or a potential for a need in distributed computing in order to store, manipulate, or analyze data.
• Conduct the preliminary analysis by running one of the data mining techniques (e.g. clustering, or regression).
• Interpret and report the preliminary results of the analysis. Use an appropriate format (e.g. tables, charts) to report the results of the analysis; writing must include results-based response to the research question.