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Data Visualization With Ggplot2 MCQs

Practice Data Visualization With Ggplot2 MCQs for competitive exams.

Data Visualization With Ggplot2 MCQs

Practice questions from this topic.

. . . . . . . . is a JavaScript charting library and feature-rich API set that lets you build interactive Flash or HTML5 charts.

  1. A. InstantAtlas
  2. B. Alterian
  3. C. ZingChart
  4. D. paleoTS
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. . . . . . . . is simplest class of analytics.

  1. A. Descriptive
  2. B. Predictive
  3. C. Prescriptive
  4. D. Summarization
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Which of the following is preferred for text analytics?

  1. A. R
  2. B. Python
  3. C. S
  4. D. EDR
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. . . . . . . . is proprietary tool for predictive analytics.

  1. A. R
  2. B. SAS
  3. C. SSAS
  4. D. EDR
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Which of the following contains pre-built predictive tools?

  1. A. alteryx
  2. B. fossilx
  3. C. paleoTS
  4. D. ssas
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Which of the following involves predicting a categorical response?

  1. A. Regression
  2. B. Summarization
  3. C. Clustering
  4. D. Classification
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. . . . . . . . involves predicting a response with meaningful magnitude, such as quantity sold, stock price, or return on investment.

  1. A. Regression
  2. B. Summarization
  3. C. Clustering
  4. D. Classification
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. . . . . . . . is rapidly being adopted for computing descriptive and query types of analytics on Big data.

  1. A. EDR
  2. B. Hadoop
  3. C. Azure
  4. D. InfoSight
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. . . . . . . . is an integrated hosted analytics platform for marketing insights, predictive models, and marketing optimization"

  1. A. LityxEQ
  2. B. WatSon
  3. C. LityxIQ
  4. D. InfoSight
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The IBM . . . . . . . . analytics appliances combine high-capacity storage for Big Data with a massively-parallel processing platform for high-performance computing.

  1. A. Watson
  2. B. Netezza
  3. C. InfoSight
  4. D. LityxEQ
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When hypothesis tests and confidence limits are to be used, the residuals are assumed to follow the . . . . . . . .distribution.

  1. A. Formal
  2. B. Mutual
  3. C. Normal
  4. D. Abnormal
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What do we do the curvilinear relationship in linear regression?

  1. A. consider
  2. B. ignore
  3. C. may be considered
  4. D. sometimes consider
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