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O Impacto do Airbnb no Mercado de Arrendamento de Lisboa

Mergulhe numa análise detalhada que compara alugueres de curta duração e tradicionais no distrito de Lisboa. Lisboa, cidade recheada de história e cultura, confronta-se com desafios habitacionais emergentes, impulsionados pelo crescimento do turismo e pela presença de plataformas como o Airbnb. Este estudo traz perspetivas

The World Cup 2022 according to Social Media

With the 2022 World Cup in Qatar kicking off on Sunday, November 20, GBSN decided to take to social media to find out how people around the world think each phase of this year's tournament will play out. GBSN Research gathered predictions for results from

Food Prices 2022

Nearly every food item is now more expensive than a year ago. According to our research which covered the variation of food prices across 12 countries, food prices increased an average of 27.6% from October 2021 to October 2022. Almost every food item has become

Top Data and Analytics Trends for 2022

From artificial intelligence to small data, these are the top data and analytics trends that will help you grow your business in 2022. Over the last several years, companies have embraced the underlying principles behind advanced analytics, beginning with buzzwords like big data to hot

5 Ways to Collect Data Online

Data is all around us. Since the popularization of the internet, the amount of available data multiplies daily. Whether it's through information posted on social media, the launch of new products on an online marketplace, or from customer-generated reviews online, the possibilities for collecting data

Summertime Car Rental Prices Around the World

Why do car rental prices change so much? There are several factors that determine the price on any given day. Prices can fluctuate because of the country and city you are renting the car in, the season, a particular holiday, the car category, the rental

Collecting the Right Data for Machine Learning

Datasets are the backbone of machine learning. Datasets are usually large collections of information that are used to train a machine learning model to either predict an outcome or to recommend a course of action for an algorithm. In order to train a model, you