Visualizing Tourism Trends in Brazil with R Programming – BRIDGEi2i Vizards

Brazil is the largest country in South America with a population of more than 210 million. It is the most visited place in South America owing to its multifaceted appeal. Home to the Amazon River basin, the country boasts of diverse wildlife, vast tropical forests, and abundance of natural resources. Brazil has therefore earned the distinction of being one of the 17 megadiverse countries.

Around the year 2000, the awareness of Brazil’s rich heritage and natural resplendence rose worldwide and so did tourism rates. The country has grown to become one of the most sought-after travel destinations in the world, and Rio de Janeiro and São Paulo continue to be the most visited cities.

For our previous posts from the Vizards Series, we used Tableau to create visualizations. However, this time around, we have used R programming to develop the visualization below. This visualization sheds light on the tourism trends in Brazil for 1989-2015. The three major insights that can be drawn from this visualization are:

  • Number of people who visited the country
  • Worldwide inflow of visitors
  • Monthly distribution of visitors

Visualizing Tourism Trends in Brazil with R Programming

To discuss this visualization on Kaggle, follow the link —

Such visualization techniques, when used in tandem with advanced analytics solutions, enable businesses in the hospitality industry to improve their decision-making capabilities. These techniques and solutions have thus made significant contributions to the growth of the industry.

The travel and tourism sector thrives solely on customer satisfaction and retention. Aside from a region’s heritage and culture, another important aspect that draws tourists is the sector’s ability to provide them with enriched experiences, right from travel to accommodation to departure. However, we are talking about millions of people here, so maintaining or increasing the inflow of tourists isn’t exactly easy. Or is it?

With growing technological innovations, analytics solutions are becoming more advanced and user-friendly. To learn how enterprises are leveraging these solutions to improve customer experience and increase profits in the process, read this article and the following case studies.

BRIDGEi2i Hospitality Case Study 1

A leading hotel based in London was looking to understand the behavior of its customers who were using its online portal for bookings. Also, it intended to optimize customer journey using analytics.

BRIDGEi2i helped the hotel in optimizing customer journey across different websites based on the ‘browse to buy’ behavior analysis. Also, the company built a performance dashboard, which can generate actionable insights, thereby enabling business stakeholders to make strategic and effective business decisions.

Download the Case Study here.

BRIDGEi2i Hospitality Case Study 2

BRIDGEi2i has helped a major hotel group in achieving a 10% increase in repeat customers and a 6% growth in occupancy rates.

The company used customer-level analysis to provide internal and external information of customers. The information helped the hotel group in building personalized promotions. Also, BRIDGEi2i’s site-level analysis offered visibility of site performances at a granular level, thus enabling the group to optimize low-performing sites.

Download the Case Study here.

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