Difference between revisions of "ANLY482 AY2017-18 T2 Group15 Data Analysis"
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::::::::::::::::Figure 1: Format of sales data before cleaning | ::::::::::::::::Figure 1: Format of sales data before cleaning | ||
| − | [[File: | + | [[File:Raw Distribution.png|center|400px|Figure 1: Format of sales data before cleaning]] |
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::::::::::::::::Figure 2: Format of sales data after cleaning | ::::::::::::::::Figure 2: Format of sales data after cleaning | ||
[[File:CleanSales.jpg|center|400px|Figure 2: Format of sales data after cleaning]] | [[File:CleanSales.jpg|center|400px|Figure 2: Format of sales data after cleaning]] | ||
Revision as of 10:42, 11 April 2018
DATA PROVIDED
- The client provided the following datasets in Excel format:
- Monthly Distribution Data of their brands across their distribution channels, from 2014 to 2017.
- Quarterly data on public perception of their brands and competitor brands, based on specific Key Performance Indicators (KPIs), from 2014 to 2017.
- Monthly Sales Data of their brands from an external Market Research Company, from 2014 to 2017.
- A file containing the current dashboard the client uses, and intermediate data which has been processed from raw data.
DATA CLEANING
- To create a dashboard for Company X on visualization software, the team had to clean and check the data for consistency. However, the data format used by the client is not suitable for dashboard creation due to the following:
- Not every column contains a field name, making visualisation difficult.
- Brand names were inconsistent across different files.
- To create a dashboard for Company X on visualization software, the team had to clean and check the data for consistency. However, the data format used by the client is not suitable for dashboard creation due to the following:
- Figure 1: Format of sales data before cleaning
- Figure 2: Format of sales data after cleaning
