Data Preparation Q1 Sumalika

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Sensor Performance:


ISSS608: Visual Analytics and Applications
VAST CHALLENGE 2017
- SUMALIKA KODUMURU

Assignment Overview

Data Overview

Sensor Performance

Patterns of Chemical Release

Factories Responsible

References & Feedback

 


Go back to Analysis

 


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

100%


Chemical: Almost equal in number with a maximum count of AGOG-3A and minimum count of Methylosmolene

100%


Monitor: A total of 9 sensors are located around the Factories.

100%