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This Excel file contains a sales order dataset used for generating all visualisation charts. The data includes order date, ship date, customer, sales amount, profit and other fields. A Tableau workbook connects to this dataset to create visual insights into sales performance.
The dataset contains various data files for Tableau data‑visualization projects, providing insights generated through interactive dashboards and analytical reports.
The Aspiring Minds AMEO dataset focuses on employment and contains candidates' skill and performance data. The dataset has been cleaned, subjected to exploratory analysis, statistical method application, and visualized to reveal key trends.
Anscombe's quartet consists of four datasets, each containing a series of [x, y] point pairs. Although they share almost identical simple statistical properties, their graphical representations differ dramatically. The datasets illustrate why graphical data exploration should precede statistical analysis and demonstrate the effect of outliers on statistical characteristics.
The project aims to develop a robust traffic flow forecasting system that leverages a Propagation‑Delay‑Aware Dynamic Long‑Range Transformer approach. The system will utilize the PeMS04, PeMS07, PeMS08, and NYCTaxi datasets to accurately predict traffic flow patterns in urban areas while accounting for propagation delays. Additionally, a deliverable of the project will be an interactive dashboard built with Looker Studio to visualize and present the traffic flow forecasts.