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Travel And Tourism Case Study

Submitted By
Words 1689
Pages 7
Finding Best time to visit Tourist places with
Web scraping and d3.js

Srinidhi Hiriyannaiah
Assistant Professor,
Ramaiah Institute of Technology srinidhih@msrit.edu Koushik A S
Student,
Ramaiah Institute of Technology askoushik4@gmail.com Akanksh B S
Student,
Ramaiah Institute of Technology bsakanksh@gmail.com Anirudha V Bharadwaj
Student,
Ramaiah Institute of Technology anirudhavb97@gmail.com ABSTRACT:

Travel and Tourism is an important area for any country. With the emergence of strong global middle class there is an increase in demand for tourist places. These tourist places have a lot to offer in terms of trekking, riverrafting, sightseeing and cultural festivals and the list goes on. But unfortunately, lot of tourists don’t …show more content…
Travel and Tourism plays a vital role in contributing to national GDP and also creates a ton of new jobs and opportunities every year. It is no different for India. Statistics say that the total contribution of Travel & Tourism to GDP was INR14,018.5 billion (USD 208.9 billion), In 2016, the total contribution of Travel & Tourism to employment, including jobs indirectly supported by the industry was 9.3% of total employment (40,343,000 jobs). This is expected to rise by 1.8% in 2017 to 41,074,000 jobs and is speculated to rise exponentially. {Beka ?If a tourist enjoys then he will tell others. Therefore, it is of utmost importance to ensure tourist enjoys the place to its full …show more content…
If the request is successful we get response = 200,otherwise details about that place is not available in that webpage. To access the contents of the webpage (if the request is successful), we have a python library known as Beautiful soup. This library has a feature to access data from a particular class or id in html document. The data obtained pose some challenges because of the nature of the language. In every webpage, the data required (i.e. months) was present in different parts of a para. Therefore, we break this unstructured data (I.e. para) into individual sentence, by using split command. The purpose of splitting like this is to find out which sentence has key words such as "great months", "best season", "best time, "best months", "ideal time", "most favourable time" so that we know the required data is present that sentence. Next once we found the required sentence we search each word in that sentence to find required months. We do this for all places and for all the websites and finally we get Jason

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