  The need for a comprehensive study to explore various aspects of online
social media has been instigated by many researchers. This paper gives an
insight into the social platform, Twitter. In this present work, we have
illustrated stepwise procedure for crawling the data and discuss the key issues
related to extracting associated features that can be useful in Twitter-related
research while crawling these data from Application Programming Interfaces
(APIs). Further, the data that comprises of over 86 million tweets have been
analysed from various perspective including the most used languages, most
frequent words, most frequent users, countries with most and least tweets and
re-tweets, etc. The analysis reveals that the users' data associated with
Twitter has a high affinity for researches in the various domain that includes
politics, social science, economics, and linguistics, etc. In addition, the
relation between Twitter users of a country and its human development index has
been identified. It is observed that countries with very high human development
indices have a relatively higher number of tweets compared to low human
development indices countries. It is envisaged that the present study shall
open many doors of researches in information processing and data science.
