Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan

Waste collection management dataset was collected hardly as it consumes lot of time and cost to finished collecting all the required parameter. However, the dataset is currently stored in Microsoft Excel which is in a static form and hardly to interpret. Aim of this project is to interpret the data visually by converting the static form of data into interactive form. This is for users to analyze the current data for future enhancement to seek the shortest route. By looking at the graphs, users can analyze and predict the pattern of the dataset and use the crossfiltering technique to filter a certain data that users want to see. This project uses visual analytic technique for pie and bar chart graphs using html and java. This project had been tested for its accuracy and functionality through experimentation with few sets of data. As a result, the graphs are functioning well. For the conclusion, the waste collection management dataset become more meaningful as users can interpret the relationship among the graphs.