Rahim Rasool committed Jan 24, 2019 1 2 3 4 5 6 7 8 9 10 11 ``````Data Science Dojo
## Wholesale Customers Data Set `````` Rahim Rasool committed Feb 05, 2019 12 ``````### Find patterns from spending data at wholesale `````` Rahim Rasool committed Jan 24, 2019 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 `````` --- ![](349.jpg) --- This *intermediate* level data set has 440 rows and 8 columns. The data set refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories. This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, **classification modelling** and **clustering**. Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set: --- ### Data Dictionary | Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios | |------------------- |------------------ |------------------------------------------------------------------------------------------------ |-------------- |-------------------- |--------------- | | 1 | Channel | Customers Channel: Horeca (Hotel/Restaurant/Cafe) or Retail channel (1: Horeca, 2: Retail) | Quantitative | 1, 2 | 0 | | 2 | Region | Customers Region: Lisnon, Oporto or Other (1: Lisnon, 2: Oporto, 3: Other) | Quantitative | 1, 2, 3 | 0 | | 3 | Fresh | Annual spending (monetary units) on fresh products | Quantitative | 18291, 1640, 219 | 0 | | 4 | Milk | Annual spending (m.u.) on milk products | Quantitative | 5139, 3259, 829 | 0 | | 5 | Grocery | Annual spending (m.u.) on grocery products | Quantitative | 6532, 4042, 3 | 0 | | 6 | Frozen | Annual spending (m.u.) on frozen products | Quantitative | 10643, 987, 6312 | 0 | | 7 | Detergents_Paper | Annual spending (m.u.) on detergents and paper products | Quantitative | 12034, 116, 3 | 0 | | 8 | Delicassen | Annual spending (m.u.) on and delicatessen products | Quantitative | 14472, 772, 120 | 0 | ### Acknowledgement This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Wholesale Customers Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Wholesale+customers).