Learn · Science Communication: Research Productivity and Data Analytics using Open Source Software
Lecture 16 of 41week-04
LECTURE 16 : Packages and Help
Prof. Nabi Hasan Prof. Mohit Garg · IIT Delhi
Credits and licence
- From
- Science Communication: Research Productivity and Data Analytics using Open Source Software, IIT Delhi (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Teens profiles and older. How courses are placed
All the lectures
- Lecture 1 - Introduction to Science Communication
- Lecture 2 - Channels of Science Communication
- Lecture 3 - Open Science and Open Access
- Lecture 4 - Open Research Data and Open Peer Review
- LECTURE 5 - Overview of Tools for Maximizing Academic Visibility and Impact of Research Output
- LECTURE 6 - Understanding Research Metrices : Author, Journal and Article Level Metrices
- Abstract and Citation Database Scopus
- Abstract and Citation Database : Web of Science
- Health Science Database : PubMed
- Free Academic Search Engine : Google Scholar
- LECTURE 11 : Installation of R
- LECTURE 12 : Installation of RStudio
- LECTURE 13 : Object and different types
- LECTURE 14 : Vector and Data Frame
- LECTURE 15 : Lists, Matrices, Factor, Array
- LECTURE 16 : Packages and Help
- LECTURE 17 : Science communication and different metrices
- LECTURE 18 : Lotka's law
- LECTURE 19 : Bradford's law
- LECTURE 20 : Zipf's Law
- LECTURE 21 : Descriptive Analysis - I
- LECTURE 22 : Descriptive Analysis - II
- LECTURE 23 : Descriptive Analysis - III
- LECTURE 24 : Analysis of Bradford and Lotka Law
- Lecture 25 : Science Mapping - I
- Lecture 26 : Science Mapping - II
- LECTURE 27 : Data Visualization : an overview, history and skills for researchers
- LECTURE 28 : Data Visualization : types, tools and technologies
- LECTURE 29 : Visualization of Scientific Research Patterns and Trends with VOSviewer and CiteSpace
- LECTURE 30 : Text Mining - Introduction
- LECTURE 31 : Regular Expression
- LECTURE 32 : Text Pre-processing
- LECTURE 33 : Topic Modeling
- LECTURE 34 : THE , QS, Sanghai (ARWU) and (NIRF) Ranking
- LECTURE 35:Academic Integrity & Ethical Guidelines in Science Communication
- Lecture 36 : IPR/Copyright Issues and Practices in Print & Digital Environment
- Lecture 3 7 : Predatory Publishing : Issues, Challenges and the Road Ahead
- LECTURE 38 : Case Study #1 Subject Domain
- LECTURE 39 : Case Study #2 Author
- LECTURE 40 : Case Study #3 Journal & Instituuion
- Live Session 04-03-2024