Welcome to "Diamond Hidden Information"—a deep dive into the fascinating world of diamonds. This dashboard brings to light some hidden insights about how diamond features like carat weight and cut quality influence their price. By exploring different visualizations, you’ll uncover patterns that reveal where most diamonds fall in terms of price and which characteristics drive up their value. Whether you're a diamond enthusiast or just curious about how diamonds are priced, this interactive tool helps you explore relationships that are often overlooked. Get ready to discover surprising trends and outliers that might just change the way you view diamonds!

This R Markdown flexdashboard interactive report explores Victorian Government open data on road crash data. It shows when, where, and why road crashes occur across Victoria, with a particular focus on the severity of crashes, the concentration of locations, and environmental conditions. The dashboard has three sections: Overview: Monthly trends for crashes and weekday vs weekend comparisons. Where: Geographic concentration of crashes and leading LGAs by incident count. Why (Context): Light conditions and speed zones for crash severity. Every visualisation is supported with a plain-language explanation so that the findings are understandable by both non-technical and technical stakeholders. Data Source: Victorian Government – Department of Transport & Planning, Road Crash Statistics (Open Data Portal). Licence: Creative Commons Attribution 4.0 (CC BY 4.0). Author: Mohan Gaddam (s4197017), Master of Analytics, RMIT University. This project was built using R, Tidyverse, and Flexdashboard for Assignment 3: Storytelling with Open Data.

第一次作業

This funnel analysis evaluates the performance of multiple digital advertising campaigns that was hosted on Facebook by an anonymous company. Success of ad campaigns was based on sales information like impressions, clicks, approved conversions and cost per approved conversions. The goal was to identify which demographic groups and ad campaigns most effectively drive users through the marketing funnel while optimizing return on ad spend. Insights from this analysis may help publishers make data-driven decisions on how best to retain advertisers and maximize publisher revenue. An additional potential benefit of this campaign is that provided insights are intended to also increase revenue of advertisers which may help with scaling publishers’ growth initiatives.