Difference between revisions of "ANLY482 AY2017-18 T1 Group2 Project EZLin Project Data"
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=== Mapping of Data === | === Mapping of Data === | ||
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| − | The initial | + | The initial 20 excels sheets have different format and include various information. There are sheets on the exchange rate between different countries, BOM of the plants and markets in various APAC countries, and etc. In order to identify: <br/> |
1) the flow of manufacturing and distributing, <br/> | 1) the flow of manufacturing and distributing, <br/> | ||
2) the location of the manufacturing plant and markets and <br/> | 2) the location of the manufacturing plant and markets and <br/> | ||
Revision as of 13:11, 27 September 2017
The dataset is provided by XXX’s supply chain and data team in excel format. The timeframe of the data being provided is for the first few months in 2017.
Contents
Data Preparation
Mapping of Data
The initial 20 excels sheets have different format and include various information. There are sheets on the exchange rate between different countries, BOM of the plants and markets in various APAC countries, and etc. In order to identify:
1) the flow of manufacturing and distributing,
2) the location of the manufacturing plant and markets and
3) the cost spending on raw materials and overhead,
we need to map all these sheets together, through identifying primary and secondary key in each sheet before linking all the sheets together.
Variable Transformation
The excel sheets lack a standard format and they are generated by different people. Same variable could have different names in different excel sheet. As such, we will need to standardise the format of all the sheets such as standardising the naming format of the variables before performing any analysis.
Multi Entry Data
We identified that some excel sheets include multiple entry of the same product, with different variable values.
This occurs due to various issues such as human errors, or generating reports in new data format using the old systems in the company. After talking to the sponsors, it is believed that the multi entry of the data need to be combined before we start working on any analysis.
Data Visualization
