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Assignment 2. Geolocation / Stalking Yourself

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Designing Associativity_Assignment 2

Route Tracker Lite for Windows Phone

Route Tracker Lite for Windows Phone

 

Screenshot of Route Tracker Lite display

Screenshot of Route Tracker Lite display

 

Geo location data in txt. format and in xml. format. The latter is used to clean and organize data from the software.

Geo location data in txt. format and in xml. format. The latter is used to clean and organize data from the first.

 

Through Grasshopper, coordinates are grouped in two shifted lists to connect every point with the folowing one in order to create the path.

Through Grasshopper, coordinates are grouped in two shifted lists to connect every point with the following one in order to create the path.

 

The map shows the grey path to reach the final point. At the end of every segment  there is a triangle whose dimension is related to the length of the vector. In the image the most of thiese shapes are not visible due to the scale. The blue triangle show how the tracking software had problems to measure the point because of a tunnel.

The map shows the grey path to reach the final point. At the end of every segment there is a triangle whose dimension is related to the length of the vector. In the image the most of these shapes are not visible due to the scale. The blue triangle shows how the tracking software had problems to measure the point because of a tunnel.

In this case the path is undermarked by a red line and the track is shown without any discontinuity point.

In this case the path is undermarked by a red line and the track is shown without any discontinuity point.

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Designing Associativity_Assignment 1_Samuel Shapiro

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Economics vs Nature

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Designing Associativity_Visualizing Data

Data Visualizing

Group/ Deepti Dutt-Adhitya Rathinam-John Koshy

Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

We have taken the statistical data of India in the year 2011  and concentrated on the aspects of  Population, Employment , Literacy, Area and Capital.

The exported data is opened in MS Excel and we choose the parameters we want to project. Below is the statistical data of India in the year 2011.

excel

Using the same structure of definition and by changing the slider , we get visualizations of different sets of data in terms of  the capital,area,population literacy rate and employment rate.

data grasshopper                  grasshopper 1                grashopper 2

Illustration showing the states with maximum area:

area area1

Illustration showing the state employment rates:

employment 1 employment

Illustration showing the literacy rates of the various states:

literacy rate 1 literacy

Illustration showing the population density of the various states:

population population1

Illustration showing the amount of capital produced in each state:

1

 

 

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