Difference between revisions of "Data Preparation Q2 Sumalika"
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(Created page with "''' Data Pre-Processing: ''' <br/> '''Dataset:''' Sensor Data <br/> '''Tools & Techniques:''' <br/> 1. JMP <br/> 2. Tableau <br/> 3. Excel <br/> '''1. Check for Missing Va...") |
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Revision as of 10:03, 16 July 2017
Data Pre-Processing:
Dataset: Sensor Data
Tools & Techniques:
1. JMP
2. Tableau
3. Excel
1. Check for Missing Values in the given data set:
The Sensor data set given by VAST and it consists of no missing values.
2. Check for Duplicate Values:
Since there is no unique identifier, no issue of duplicate values.
The date field has 1 value for each, hence no repetitions in date value.
3. Analyse variable distributions:
Date: Refers to date fields for Months April, August and December
Chemical: Almost equal in number with a maximum count of AGOG-3A and minimum count of Methylosmolene
Monitor: A total of 9 sensors are located around the Factories.
