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azrulsyaffiq

Md Azrul Syaffiq

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ecommerce transaction
This insight is about ecommerce transaction which generated using Synthetic Data Generation based different platform (Facebook, Instagram, TikTok, X, Outlet & Online Ads) ranging for 24 months
Blood Donation Data Discovery
This project explores blood donation trends in Malaysia from 2006 to the present. Using data visualization, time series forecasting, and clustering, it identifies key patterns, predicts future donation trends, and highlights facilities with low blood supply. The findings aim to support healthcare decision-making by optimizing resource allocation and enhancing donor engagement strategies.
Publish Presentation
Slide presentation for Banting API. The shiny apps can be viewed at the link below: Link: https://azrulsyaffiq.shinyapps.io/Banting/ This data can be obtained from the Banting Air Pollutant Index file. Link as below: Link: https://drive.google.com/file/d/0B70x8yV_bE43LUJYZUNEOVRfNkU/view?pref=2&pli=1 (the original unprocessed data can be obtained from http://data.gov.my
Motor Trend Data Analysis
You work for Motor Trend, a magazine about the automobile industry. Looking at a data set of a collection of cars, they are interested in exploring the relationship between a set of variables and miles per gallon (MPG) (outcome). They are particularly interested in the following two questions: “Is an automatic or manual transmission better for MPG” "Quantify the MPG difference between automatic and manual transmissions"
Analysis of impact, both economic and public health, of different weather events in the USA based on the NOAA Storm Database
In this report, we aim to analyze the impact of different weather events on public health and economy based on the storm database collected from the U.S. National Oceanic and Atmospheric Administration’s (NOAA) from 1950 - 2011. We will use the estimates of fatalities, injuries, property and crop damage to decide which types of event are most harmful to the population health and economy. From the analysis, we found out that the impact on humans, be it injuries or fatalities, isn’t directly correlated to the ecomomic damage weather events cause. From these data, it shows that excessive heat and tornado are most harmful with respect to population health, while flood, drought, and hurricane/typhoon have the greatest economic consequences.