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Data analytics project that predicts the prices of fish commodities in Metro Manila during the height of the pandemic. Uses basic ARIMA models and Interrupted Time Series Analysis.

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JayTheBee/Fish-Price-Analytics

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Fish Price Analytics

The COVID-19 pandemic has impacted the over all economy in many sectors such as agriculture. In this study, the researcher analyzes the prices of fish commodities being sold in Metro Manila during the pandemic lockdowns. Using the relevant time series methodologies such as the Autoregressive Integrated Moving Average (ARIMA), the researcher establishes the hypothesis that the COVID-19 lockdowns have an impact on these prices. Based on the study’s findings, the fish commodities were affected by the lockdowns in specified months and even in the entire duration of the lockdown from October 1, 2019 to August 31, 2021.

Details

  • Datasets from: https://www.da.gov.ph/price-monitoring/
  • ITS Range of dataset used (before lockdowns): October 01, 2019 - March 14, 2020
  • ITS Range of dataset used (after first lockdown): March 16, 2020 - August 29, 2020
  • Forecast Range of dataset used: October 01, 2019 - August 31, 2021
  • Made using Jupyter and Numpy

Paper

Unpublished, passed in partial fulfillment of a Data Analytics course.

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Data analytics project that predicts the prices of fish commodities in Metro Manila during the height of the pandemic. Uses basic ARIMA models and Interrupted Time Series Analysis.

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