Dealing with missing values in a relation dataset using the DROPNA function in python
- Title
- Dealing with missing values in a relation dataset using the DROPNA function in python
- Creator
- Mishra V.K.; Sebastian S.; Iqbal M.; Anand Y.
- Description
- Python provides a rich data structure library called PANDAS, which provides fast and efficient data transformation and analysis. The word PANDAS is an abbreviation of Python Data Analysis Library. PANDAS facilitate optimized and dynamic data structure designs work with "relational" or "labeled" data. Python's approach is meant to provide a high-level, high-performance building block that can be used to do real-world analysis of data. PANDAS Library is allowing users to import data from different file formats, such as CSV, SQL, Microsoft Excel etc. [1]. It helps in data preparation, as well as in data modeling, for those projects, which aims data analysis for the extraction of information. Python's future will be built on this layer for statistical computing. In addition to discussing future areas of work and growth opportunities for statistics and data analytics applications built on Python, the study provides details about the language's design and features [2]. In this research paper, we intend to solve the problem of missing values in a dataset using the DROPNA function in Python using PANDAS library. 2023 Scrivener Publishing LLC.
- Source
- Mathematics and Computer Science, Vol-1, pp. 463470-.
- Date
- 2023-01-01
- Publisher
- Wiley Blackwell
- Subject
- DROPNA; Missing values; PANDAS; Python
- Coverage
- Mishra V.K., School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India; Sebastian S., Christ (Deemed to be) University Delhi-NCR, Ghaziabad, Uttar Pradesh, India; Iqbal M., Christ (Deemed to be) University Delhi-NCR, Ghaziabad, Uttar Pradesh, India; Anand Y., Christ (Deemed to be) University Delhi-NCR, Ghaziabad, Uttar Pradesh, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-111987983-1; 978-111987967-1
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Mishra V.K.; Sebastian S.; Iqbal M.; Anand Y., “Dealing with missing values in a relation dataset using the DROPNA function in python,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18284.