Visualization of Dynamic Graphs
Added on 2020-03-23
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Graph VisualizationDesign
Table of ContentsQuestion 1...............................................................................................................................................2Question 2...............................................................................................................................................3Question 3...............................................................................................................................................5Question 4...............................................................................................................................................8
Question 1AnswerA graph is defined as the depiction of a set of objects or nodes where approximately somepairs of objects are associated by the links. The key mission of the graph visualization is to present data in a comprehensible and in a logical manner.Network visualization is very mutual, but it is an underused data type. It abstractly contains a collection of networks between a pair of items and a collection of items. People on thesocial network are considered as the items and the connection that exist between the items in case of relation with each other. Even the warehouse locations is considered as the items and a connecting is provided if a direct supply route exist between both locations. For performing a graph visualization for a flight data Watson Analytics can be used (Lee, 2016).Watson Analytics is a graph visualization and smart data analysis service that can be usedto rapidly determine meaning and patterns and in our data. It also provides guided data discovery, cognitive capabilities such as natural language dialogue and automated predictive analytics, so that interact with data is done for getting the answers.A business intelligence tools do not naturally support inquiring or visualizing network data. The data that is to be represented in the graph is obtained, the flight data with six attributes is provide. The given data has the data regarding aircraft class, from and to city, aircraft design, engine design along with the price. Since the attributes are given in separate column, the visual route map is provided for each airline by associating it with its origin and the destination city. This can be easily done by loading up the information in Watson Analytics and a new data exploration quickly started.With the assistance of Watson Analytics the connections between each origin and destination city in the data can be made. By clicking the maximum related proposal it shows all connections between. It also detects destination state forms a hierarchy with destination city and
it capacity to auto included state names for each city. Each city is gives as node and the line is given as the edge, the line is the flight connecting the two cities (Badam and Elmqvist, 2017).Question 2 A sequence of phases that is passed out to abstract information from the raw data is defined as visual data processing cycle. Each phase essential to be in order and this order is to be in cyclic. The storage stage and output results in repetition of the data collection stage that resultsvisual data processing in another cycle of the. 1.Information collection: The first stage in the visual data processing this is very critical because the superiority of the data that is collected have tendency to impact the output heavily. It is essential to ensure the data that is gathered is both accurate and well defined.This phase provides the baseline to measure the target and what is to be improved. The data collection includes the statistical population or data collection in group. During the data collection a sample survey is done only on the selected sample (Börner et al., 2015).2.Preparation of data: Data preparation is the manipulation of data into the procedure thatis appropriate for advance visual data processing and analysis. Unprocessed data must be check for accuracy because processing cannot be done further. Constructing a dataset from single or more number of sources of data that is to be used for additional processingexploration is termed as preparation. Highly misleading results that are heavily dependenton the quality of data prepared can occur if examining of data that has not been sensibly screened for problems that can be produce further (Torre, 2014).3.Input: It is the process where the data is confirmed and converted otherwise it can be coded into a machine readable form that a computer can able to process it. With the help of a digitizer, keyboard, scanner, or data entry from an existing source data entry is done.
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