Reddit: /r/travel by Kaggle | Ecommerce and Consumer Trends

About this Dataset

Reddit: /r/travel

An Exploration of Users & Posts

About this dataset

Traveling can be an incredibly exciting and rewarding experience; it is the perfect way to break away from the everyday routine and explore new cultures, sights, and sounds. For those planning a travel-related adventure – whether international or local – having access to real-user experiences in the form of advice and recommendations can mean the difference between a fantastic journey and a costly mistake. That's why this dataset of Reddit posts history on 'travel' is particularly useful for exploring Reddit users' opinions, desires, and experiences with their travel endeavors.

This dataset contains information on over 750+ Reddit posts regarding traveling as well as thousands of related comments over an extended period of time. For every post listed, data such as title, score (number of upvotes), URL link to page, number of comments given per post/comment thread, creation date/time stamp for both post/comment threads can be found.

All together these attributes provide detailed insights into user sentiments towards various aspects regarding traveling: What topics are they most interested in? What do they think are the best (or worst) destinations? Are there any tips or pitfalls that could inform our own decisions when embarking on our next journey? All this information resulting from our analysis will give us better guidance when helping us make smarter decisions during our planning process!

More Datasets

For more datasets, click here.

Featured Notebooks

🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides valuable insights into the various opinions, desires and experiences of Redditors about travel-related activities. The data consists of posts and comments collected from the 'travel' sub reddit page on Reddit. To get started with this dataset, you need to first understand that each post includes data such as title, score, ID, url, number of comments created at the timestamp etc. This can be used to understand the kind of conversations that are happening in these forums regarding travel related topics.

Research Ideas

Analyzing user sentiment around various topics in the travel industry such as airlines, hotels, attractions and experiences.

Comparing time of year to the frequency of posts related to summer vacation or other holiday specific activities.

Examining which geographical locations generate the most interest among Redditors, and applying this data to marketing campaigns for those areas

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: travel.csv

Column name	Description
title	The title of the post. (String)
score	The number of upvotes the post has received. (Integer)
url	The URL of the post. (String)
comms_num	The number of comments the post has received. (Integer)
created	The date and time the post was created. (DateTime)
body	The body of the post. (String)
timestamp	The date and time the post was last updated. (DateTime)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Reddit.

Tables

Travel

@kaggle.thedevastator_uncovering_travel_experiences_desires_and_opinio.travel

579.93 KB
1899 rows
8 columns


CREATE TABLE travel (
  "title" VARCHAR,
  "score" BIGINT,
  "id" VARCHAR,
  "url" VARCHAR,
  "comms_num" BIGINT,
  "created" DOUBLE,
  "body" VARCHAR,
  "timestamp" TIMESTAMP
);