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₦ 300,000 - ₦ 320,000
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+ shipping from ₦ 12,000 to LEKKI-AJAH (SANGOTEDO)
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Delivery Fees ₦ 12,000
Ready for pickup between 28 January and 29 January if you place your order within the next 4hrs 56mins
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Delivery Fees ₦ 13,000
Ready for delivery between 28 January and 29 January if you place your order within the next 4hrs 56mins
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Free return within 7 days for ALL eligible itemsDetails
Seller Information
MIKE "O" INTERNATIONAL LIMITED
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Product details
A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Commonly used dimensions are people, products, place and time.[1][2] (Note: People and time sometimes are not modeled as dimensions.)
In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed of individual, non-overlapping data elements. The primary functions of dimensions are threefold: to provide filtering, grouping and labelling.
These functions are often described as "slice and dice". A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product.
A dimensional data element is similar to a categorical variable in statistics.
Typically dimensions in a data warehouse are organized internally into one or more hierarchies. "Date" is a common dimension, with several possible hierarchies:
"Days (are grouped into) Months (which are grouped into) Years","Days (are grouped into) Weeks (which are grouped into) Years""Days (are grouped into) Months (which are grouped into) Quarters (which are grouped into) Years"etc.
In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed of individual, non-overlapping data elements. The primary functions of dimensions are threefold: to provide filtering, grouping and labelling.
These functions are often described as "slice and dice". A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product.
A dimensional data element is similar to a categorical variable in statistics.
Typically dimensions in a data warehouse are organized internally into one or more hierarchies. "Date" is a common dimension, with several possible hierarchies:
"Days (are grouped into) Months (which are grouped into) Years","Days (are grouped into) Weeks (which are grouped into) Years""Days (are grouped into) Months (which are grouped into) Quarters (which are grouped into) Years"etc.
Specifications
Key Features
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Specifications
- SKU: GE779FD5LX12GNAFAMZ
- Product Line: MIKE "O" INTERNATIONAL LIMITED
- Model: N/A
- Weight (kg): 10
- Color: N/A
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Star Face Office Table
₦ 300,000 - ₦ 320,000
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