Missing data exploration in air quality data set using r-package data visualisation tools
Missing values often occur in many data sets of various research areas. This has been recognized as data quality problem because missing values could affect the performance of analysis results. To overcome the problem, the incomplete data set needs to be treated using imputation method. Thus, explor...
| Published in: | Bulletin of Electrical Engineering and Informatics |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083047189&doi=10.11591%2feei.v9i2.2088&partnerID=40&md5=909ffdb37449535c3d93fd96c88de6ec |