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lookerstudio

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This code performs association analysis on a sales dataset, using the Apriori algorithm. The dataset is loaded from an Excel file, and a basket of items is created for each transaction. The Apriori algorithm is then applied to find frequent itemsets and association rules based on the support, confidence, and lift metrics.

  • Updated Jan 6, 2025
  • Jupyter Notebook

Engineered a robust data pipeline using Google Cloud Platform (GCP) services like Cloud Storage, Compute Engine, BigQuery, resulting in a 30% decrease in data processing and analysis time of the San Francisco Crime dataset.Designed an interactive dashboard using Looker Studio, empowering stakeholders to explore crime data visually.

  • Updated Jan 20, 2024
  • Jupyter Notebook

Developed a dashboard that utilized an analysis of user behavior to identify opportunities for enhancing the Google Merchandise Store website, aiming to increase sales and revenue. More precisely to gain insights, utilized functionalities like Funnel Analytics and Cohort Analytics available in Google Analytics to gather valuable insights.

  • Updated May 5, 2023

Engineered a robust data pipeline using Google Cloud Platform (GCP) services like Cloud Storage, Compute Engine, BigQuery, resulting in a 30% decrease in data processing and analysis time of the San Francisco Crime dataset.Designed an interactive dashboard using Looker Studio, empowering stakeholders to explore crime data visually.

  • Updated Sep 21, 2023
  • Jupyter Notebook

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