Difference between revisions of "Data Preparation Q1 Sumalika"
(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...") |
|||
Line 1: | Line 1: | ||
+ | Sensor Performance: | ||
+ | |||
+ | |||
+ | <div style="background:#FFFFFF ; border:#001a66; padding-left:15px; text-align:center;"> | ||
+ | <font size = 5; color="#001a66"><span style="font-family:Century Gothic;">ISSS608: Visual Analytics and Applications</span></font> | ||
+ | <br/> | ||
+ | <font size = 5; color="#001a66"><span style="font-family:Century Gothic;">VAST CHALLENGE 2017 </span></font> | ||
+ | <br/> | ||
+ | <font size = 4; color="#001a66"><span style="font-family:Century Gothic;"> '''- SUMALIKA KODUMURU''' </span></font> | ||
+ | |||
+ | <!--MAIN HEADER --> | ||
+ | {|style="background-color:#001a66;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #000000; background:#001a66; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | [[ISSS608 2016-17 T3 Assign SUMALIKA KODUMURU | <font color="#FFFFFF">Assignment Overview</font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#001a66; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | [[Data Overview| <font color="#FFFFFF"> Data Overview </font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#b30000; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | [[Question1_SUMALIKA KODUMURU| <font color="#FFFFFF"> Sensor Performance </font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#001a66; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | [[Question 2_SUMALIKA KODUMURU| <font color="#FFFFFF"> Patterns of Chemical Release </font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#001a66; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | [[Question 3_SUMALIKA KODUMURU| <font color="#FFFFFF"> Factories Responsible </font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#001a66; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | [[References & Feedback | <font color="#FFFFFF"> References & Feedback </font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#001a66; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | | | ||
+ | |} | ||
+ | </div> | ||
+ | <br/> | ||
+ | |||
+ | <!--MAIN HEADER --> | ||
+ | {|style="background-color:#FFFFFF;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #000000; background:#FFFFFF; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | [[Question1_SUMALIKA KODUMURU | <font color="#b30000"> '''Go back to Analysis'''</font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font size = 5; solid #1B338F; background:#FFFFFF; text-align:center;" width="16.6%" | | ||
+ | ; | ||
+ | | | ||
+ | |} | ||
+ | |||
+ | |||
''' Data Pre-Processing: ''' | ''' Data Pre-Processing: ''' | ||
Latest revision as of 12:38, 16 July 2017
Sensor Performance:
ISSS608: Visual Analytics and Applications
VAST CHALLENGE 2017
- SUMALIKA KODUMURU
|
|
|
|
|
|
|
|
|
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.