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Quarterly Export Sales Analytics
Data Science and Analytics
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About
Export sales records detailing Fast-Moving Consumer Goods (FMCG) transactions. Data originates from a commercial sales database and is suitable for analysing global market trends, product category performance, and price variation dynamics. The records track essential information such as product category, destination country, item quantity, and total price per item. Note that a single invoice number may contain multiple item entries, and pricing is subject to variation based on time, country, or specific customer.
Columns
- ID: Row Identifier.
- Date: The date of the transaction.
- Category: The main product category for the sold item.
- Invoice Number: Unique identifier for the sales invoice; each invoice may list several items.
- Product Code: The identifier associated with the sold product.
- Customer Code: The identifier associated with the purchasing customer.
- Destenation: The destination country, encoded using the ISO 3166-1 alpha-3 standard.
- QTY: The quantity of the specific item mentioned in the invoice.
- Total Price: The total monetary value corresponding to the quantity listed in the QTY column.
Distribution
The data is provided in CSV file format, named ExportSales.csv, with a size of approximately 487.36 kB. The collection contains 7,811 valid records across nine columns. New data is expected to be updated on a quarterly basis.
Usage
This data is ideal for applications requiring granular sales insight, including:
- Performing linear regression analysis on sales volumes or pricing.
- Geographical market segmentation and demand forecasting based on destination country.
- Tracking fluctuations in product pricing over time and by destination.
- Analysing export flow and supply chain logistics (Tags include Transportation and Geography).
Coverage
The temporal scope of the records spans from 7th April 2019 up to 19th September 2022. Geographical coverage includes sales across 30 unique destination countries, identified using the ISO 3166-1 alpha-3 codes, with a notably high volume of sales directed towards IRQ. Product types are segmented into 10 categories, with Category4 representing nearly half of the recorded transactions.
License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists: For building forecasting models, performing detailed statistical analysis, and deriving correlations between product type, price, and destination.
- Market Researchers: To identify key export markets and understand product category performance internationally.
- Sales and Logistics Professionals: To monitor quarterly sales performance and inform supply chain strategies.
Dataset Name Suggestions
FMCG Export Sales Log, Global FMCG Destination Records, Quarterly Export Sales Analytics, Commercial Product Export Data.
Attributes
Original Data Source: Quarterly Export Sales Analytics
QUALITY