Difference between revisions of "Hiryuu Project Management"
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[[File:Hiryuu_Gantt_Chart.JPG|1000px|center]] | [[File:Hiryuu_Gantt_Chart.JPG|1000px|center]] | ||
| − | + | Final Changes: | |
| − | * Exploratory Analysis | + | * Clustering module removed |
| − | + | * Exploratory Analysis completed by Week 8 | |
| − | * Time Series | + | * Time Series completed by Week 9 |
| − | * Geospatial | + | * Geospatial Analysis completed by Week 14 |
| − | * | + | * Both Rshiny dashboards completed by Week 15 |
| + | * Dummy Data created for poster session | ||
Revision as of 10:48, 22 April 2017
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| Overview |
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Scope of Work
- Data Gathering and Scoping Data have been gathered from our sponsor which consists of data across 3 months and spanning across several countries. The data given to us are all in .csv formats.
- Research on Software and Proposal Preparation Our team has researched and discussed on the software and applications used in analysing and visualising the data with our supervisor and sponsor.
- Data Cleaning and restructuring
- Data Modelling
- Exploratory Analysis
- Geospatial Analysis
- Time Series Data Analysis
- Dashboard Building
We will mainly utilise JMP Pro for the clustering, exploratory, and seasonality analysis and QGIS for our geospatial analysis. Our sponsor has expressed their preference for the final product to be in Power BI as they are familiar with it. In addition, they have expressed interest for the final product to be dynamic, meaning any input of future data can tap on the methods used to produce the results.
Currently we will focus on analysis on JMP Pro and QGIS and have plans to decide how to compromise the dynamic capabilities within our limitations.
After looking and familiarising ourselves with the data, we discovered the complexity of the data. The data is not only large in size, contains a wide variety, and also inconsistent across different countries. This inconsistency is due to the differences in language used for reporting as well as different systems used. As such, certain coding languages could not be used to process the values and other solutions have to be looked into.
Due to the complexity and variety of the data, we will be conducting data cleaning by removing duplicates, ensuring consistency by inserting the header column, merging the data files, filtering the data by countries and checking that the data is appropriate and ready for analysis.
To offer a dynamic dashboard that can intake raw data from the providers and produce meaningful graphs and charts for the user to understand the logistics performance, we decided to utilise Rshiny. Both service providers engaged very different in their data collection, hence we decided to build 2 separate dashboards to handle the 2 very different formats. However, our delivery of analysis is similar for both dashboards. We were able to build the dashboard with a clearer end picture in mind as we had a c better understanding of the data after the earlier analysis done on JMP Pro.
Timeline
| Tasks | Start | End | Teammates Involved | Status | ||
|---|---|---|---|---|---|---|
| Data Gathering and Scoping | ||||||
| Gather Data | Week 0 | Week 0 | All | Completed | ||
| Finalise Requirements with client | Week 0 | Week 0 | All | Completed | ||
| Scope Project | Week 0 | Week 0 | All | Completed | ||
| Research and Preparation | ||||||
| Explore software | Week 0 | Week 0 | All | Completed | ||
| Finalise Proposal | Week 0 | Week 0 | All | Completed | ||
| Create and update wiki page | Week 0 | Week 0 | All | Completed | ||
| Data Cleaning | ||||||
| Data collection | Week 1 | Week 2 | All | Completed | ||
| Data cleaning and restructuring | Week 1 | Week 2 | All | Completed | ||
| Resolve/remove incomplete data | Week 1 | Week 2 | All | Completed | ||
| Data Modelling | ||||||
| Stage 1: Exploratory Analysis | Week 3 | Week 8 | All | Completed | ||
| Stage 2: Clustering | Week 9 | Week 10 | All | Completed | ||
| Stage 3: Time Series Analysis | Week 3 | Week 9 | Jouta | Completed | ||
| Stage 4: Geospatial | Week 4 | Week 13 | Qianpin | Completed | ||
| Interim Preparation | ||||||
| Gather feedback from Client | Week 4 | Week 8 | All | Completed | ||
| Prepare interim report and slides | Week 7 | Week 8 | Jouta | Completed | ||
| Application Building | ||||||
| Code the application | Week 6 | Week 14 | All | Completed | ||
| Testing the application | Week 10 | Week 14 | All | Completed | ||
| Gather feedback from Client | Week 12 | Week 16 | All | Completed | ||
| Iteration | ||||||
| Adjust analysis | Week 12 | Week 13 | Jouta | Completed | ||
| Refine results to improve clarity | Week 12 | Week 13 | Wan Theng, Qianpin | Completed | ||
| Final Preparation | ||||||
| Prepare Research Paper | Week 14 | Week 14 | All | Completed | ||
| Prepare Poster | Week 15 | Week 15 | Qianpin | Completed | ||
Work Plan
- Fortnightly meetings with Supervisor
- Monthly meetings with Sponsor
Final Changes:
- Clustering module removed
- Exploratory Analysis completed by Week 8
- Time Series completed by Week 9
- Geospatial Analysis completed by Week 14
- Both Rshiny dashboards completed by Week 15
- Dummy Data created for poster session
