Analyzing Census Data Using Alibaba Cloud’s Machine Learning Platform

By Garvin Li

A census is an official survey of a population that records the details of individuals in various aspects. Through census data, we can measure the correlation of certain characteristics of the population, such as the impact of education on income level. This assessment can be made based on other attributes such as age, geographical location, and gender. In this article, we will show you how to set up the Alibaba Cloud Machine Learning Platform for AI product to perform a similar experiment using census data.

Dataset Introduction

Data Exploration Procedure

The experiment interface is as shown in the following figure.

  1. The first part of the figure is the component area. The user can drag it to the blank area in the middle to set up the experiment.
  2. The second part of the figure is the experimental area. The user can set up an experiment in this area.
  3. The third part of the figure is the component configuration area. The user can configure component parameters in this area.

The experiment includes three parts, as shown in the following figure.

The first part relates to the data source preparation, the second part relates to the data statistics, and the third part relates to the impact of education on income.

Data Source Preparation

Data Statistics

Each component of Alibaba Cloud Machine Learning provides result visualization. The figure below is the output of the histogram component of the numerical statistics, in which the distribution of each input record can be clearly seen.

Impact of Education on Income

Data preprocessing

Filtering and Mapping

The filtering and mapping component supports SQL statements, and the user needs to fill in the “where” filter in the configuration bar on the right.

Result Statistics

Combine the three percentile components to get the results shown below.

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Reference:https://www.alibabacloud.com/blog/analyzing-census-data-using-alibaba-clouds-machine-learning-platform_594277?spm=a2c41.12435641.0.0

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