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Geographical Concentration of Manufacturing Industries in China

Image of Workflow
Geographical Concentration of Manufacturing Industries in China

Geographical Concentration of Manufacturing Industries in China

$
39.00
Price
$39.00
% off
% off
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Price
$39.00

Overview

 

Included in this package are the Knime workflow, ready to use datasets, outputs and summary deck. The objective is to evaluate the spatial distribution of different industries of China. This workflow evaluates and compares Gini's coefficient for both province and city-level industry performance.​

 

 

Directions

 

Step 1: Download the package from the URL provided

Step 2: Open KNIME

Step 3: Import KNIME workflow file

Step 4: Configure “Input Data” for each table and figure

Step 5: Click Run function from the top menu

Step 6: Display the outputs

 

 

Product Details

Author RMDS Lab
Creator Koo Ha Kwon
Format A link will be emailed to you after purchase
Discount 100% for Premium and Elite members
Refund Policy No refund
Published Date 11/6/2020
Image of Workflow
Geographical Concentration of Manufacturing Industries in China
Variations
Upload requirements
Stock Status
In Stock
Category
KNIME Workflow
Price
$39.00
Title
Geographical Concentration of Manufacturing Industries in China

Overview

 

Included in this package are the Knime workflow, ready to use datasets, outputs and summary deck. The objective is to evaluate the spatial distribution of different industries of China. This workflow evaluates and compares Gini's coefficient for both province and city-level industry performance.​

 

 

Directions

 

Step 1: Download the package from the URL provided

Step 2: Open KNIME

Step 3: Import KNIME workflow file

Step 4: Configure “Input Data” for each table and figure

Step 5: Click Run function from the top menu

Step 6: Display the outputs

 

 

Product Details

Author RMDS Lab
Creator Koo Ha Kwon
Format A link will be emailed to you after purchase
Discount 100% for Premium and Elite members
Refund Policy No refund
Published Date 11/6/2020