Difference between revisions of "Programming/Kdb/Labs/Exploratory data analysis"

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* '''URL:''' <span class="plainlinks">https://archive.ics.uci.edu/ml/datasets/Real+estate+valuation+data+set</span>
* '''URL:''' <span class="plainlinks">https://archive.ics.uci.edu/ml/datasets/Real+estate+valuation+data+set</span>
There are many data sets on UCI that are worth exploring. We picked this one because it is relatively straightforward and clean.
Let's read the data set information:
<blockquote>
The market historical data set of real estate valuation is collected from Sindian Dist., New Taipei City, Taiwan. The real estate valuation is a regression problem. The data set was randomly split into the training data set (2/3 samples) and the testing data set (1/3 samples).
</blockquote>
This paragraph describes how the original researchers split up the data set. We will split it up differently: fifty-fifty.
Let's read on:
<blockquote>
The inputs are as follows:
* X1 = the transaction date
</blockquote>
</blockquote>

Revision as of 14:06, 18 June 2021

In this lab we'll make sense of the following data set from the UCI Machine Learning Repository:

  • Name: Real estate valuation data set
  • Data Set Characteristics: Multivariate
  • Attribute Characteristics: Integer, Real
  • Associated Tasks: Regression
  • Number of Instances: 414
  • Number of Attributes: 7
  • Missing Values? N/A
  • Area: Business
  • Date Donated: 2018.08.18
  • Number of Web Hits: 111,613
  • Original Owner and Donor: Prof. I-Cheng Yeh, Department of Civil Engineering, Tamkang University, Taiwan
  • Relevant papers:
    • Yeh, I.C., and Hsu, T.K. (2018). Building real estate valuation models with comparative approach through case-based reasoning. Applied Soft Computing, 65, 260-271.

There are many data sets on UCI that are worth exploring. We picked this one because it is relatively straightforward and clean.

Let's read the data set information:

The market historical data set of real estate valuation is collected from Sindian Dist., New Taipei City, Taiwan. The real estate valuation is a regression problem. The data set was randomly split into the training data set (2/3 samples) and the testing data set (1/3 samples).

This paragraph describes how the original researchers split up the data set. We will split it up differently: fifty-fifty.

Let's read on:

The inputs are as follows:

  • X1 = the transaction date