From 1037082b1dc3b6685874f391d05e29b8c859c0a6 Mon Sep 17 00:00:00 2001 From: Rahim Rasool Date: Thu, 24 Jan 2019 02:04:39 +0500 Subject: [PATCH] Added Wholesale Customers --- Wholesale Customers/349.jpg | Bin 0 -> 395197 bytes Wholesale Customers/README.md | 46 ++++++++++++++++++++++++++++++++++++++++++++++ Wholesale Customers/Wholesale customers data.csv | 441 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 487 insertions(+) create mode 100644 Wholesale Customers/349.jpg create mode 100644 Wholesale Customers/README.md create mode 100644 Wholesale Customers/Wholesale customers data.csv diff --git a/Wholesale Customers/349.jpg b/Wholesale Customers/349.jpg new file mode 100644 index 0000000..2e7a23a Binary files /dev/null and b/Wholesale Customers/349.jpg differ diff --git a/Wholesale Customers/README.md b/Wholesale Customers/README.md new file mode 100644 index 0000000..598d96f --- /dev/null +++ b/Wholesale Customers/README.md @@ -0,0 +1,46 @@ +Data Science Dojo
+Copyright (c) 2016 - 2019 + +--- + +**Level:** Intermediate
+**Recommended Use:** Classification/Clustering
+**Domain:** Business/Retail
+ +## Wholesale Customers Data Set + +### Discover patterns from spending data at wholesale + + +--- +![](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).
+The UCI page mentions the following as the original source of the data set:
+*Abreu, N. (2011). Analise do perfil do cliente Recheio e desenvolvimento de um sistema promocional. Mestrado em Marketing, ISCTE-IUL, Lisbon* \ No newline at end of file diff --git a/Wholesale Customers/Wholesale customers data.csv b/Wholesale Customers/Wholesale customers data.csv new file mode 100644 index 0000000..2e52fb5 --- /dev/null +++ b/Wholesale Customers/Wholesale customers data.csv @@ -0,0 +1,441 @@ +Channel,Region,Fresh,Milk,Grocery,Frozen,Detergents_Paper,Delicassen +2,3,12669,9656,7561,214,2674,1338 +2,3,7057,9810,9568,1762,3293,1776 +2,3,6353,8808,7684,2405,3516,7844 +1,3,13265,1196,4221,6404,507,1788 +2,3,22615,5410,7198,3915,1777,5185 +2,3,9413,8259,5126,666,1795,1451 +2,3,12126,3199,6975,480,3140,545 +2,3,7579,4956,9426,1669,3321,2566 +1,3,5963,3648,6192,425,1716,750 +2,3,6006,11093,18881,1159,7425,2098 +2,3,3366,5403,12974,4400,5977,1744 +2,3,13146,1124,4523,1420,549,497 +2,3,31714,12319,11757,287,3881,2931 +2,3,21217,6208,14982,3095,6707,602 +2,3,24653,9465,12091,294,5058,2168 +1,3,10253,1114,3821,397,964,412 +2,3,1020,8816,12121,134,4508,1080 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