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  1. Acumos
  2. ACUMOS-1179

Ability to perform Exploratory Data Analysis + Visualization + Sampling


    • Type: Story
    • Status: Open
    • Priority: High
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: training
    • Labels:


      [From NIST] -> https://www.itl.nist.gov/div898/handbook/eda/section1/eda11.htm

      Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (mostly graphical) to

      1. maximize insight into a data set;
      2. uncover underlying structure;
      3. extract important variables;
      4. detect outliers and anomalies;
      5. test underlying assumptions;
      6. develop parsimonious models; and
      7. determine optimal factor settings.


      Acceptance criteria is


      • Ability to Load data and describe it's descriptive statistics visually
      • Ability to call webservices to compute new attributes from existing loaded datasets
      • Ability to compute an attribute on the fly and visualize the same with other attributes
      • Ability to Sample and change the visualization
      • Ability to filter based on multiple attributes and see dashboards/charts which are linked to the dataset change their visualization
      • Ability to sample datasets
      • Ability to Import/Export Datasets for analysis


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              • Assignee:
                apmishra Aditya Prakash Mishra
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                • Created: