#IndiaNeedsOxygen Tweets
Data Science and Analytics
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People across India scrambled for life-saving oxygen supplies on Friday and patients lay dying outside hospitals as the capital recorded the equivalent of one death from COVID-19 every five minutes.
For the second day running, the country’s overnight infection total was higher than ever recorded anywhere in the world since the pandemic began last year, at 332,730.
India’s second wave has hit with such ferocity that hospitals are running out of oxygen, beds, and anti-viral drugs. Many patients have been turned away because there was no space for them, doctors in Delhi said.
Mass cremations have been taking place as the crematoriums have run out of space. Ambulance sirens sounded throughout the day in the deserted streets of the capital, one of India’s worst-hit cities, where a lockdown is in place to try and stem the transmission of the virus.
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Dataset
The dataset consists of the tweets made with the #IndiaWantsOxygen hashtag covering the tweets from the past week. The dataset totally consists of 25,440 tweets and will be updated on a daily basis.
The description of the features is given below
No Columns Descriptions
1 user_name The name of the user, as they’ve defined it.
2 user_location The user-defined location for this account’s profile.
3 user_description The user-defined UTF-8 string describing their account.
4 user_created Time and date, when the account was created.
5 user_followers The number of followers an account currently has.
6 user_friends The number of friends an account currently has.
7 user_favourites The number of favorites an account currently has
8 user_verified When true, indicates that the user has a verified account
9 date UTC time and date when the Tweet was created
10 text The actual UTF-8 text of the Tweet
11 hashtags All the other hashtags posted in the tweet along with #IndiaWantsOxygen
12 source Utility used to post the Tweet, Tweets from the Twitter website have a source value - web
13 is_retweet Indicates whether this Tweet has been Retweeted by the authenticating user.
Acknowledgements
https://globalnews.ca/news/7785122/india-covid-19-hospitals-record/
Image courtesy: BBC and Reuters
Inspiration
The past few days have been really depressing after seeing these incidents. These tweets are the voice of the indians requesting help and people all over the globe asking their own countries to support India by providing oxygen tanks.
And I strongly believe that this is not just some data, but the pure emotions of people and their call for help. And I hope we as data scientists could contribute on this front by providing valuable information and insights.
License
CC0
Original Data Source: #IndiaNeedsOxygen Tweets