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Tag: data collection

New York City Rent Prices By Borough And Neighborhood

While New York City is known for being an expensive place to live in general, housing prices vary by borough and can even be vastly different from one neighborhood to the next. The average rent in a Manhattan neighborhood known for trendy bars and shops will almost certainly be higher
data-analytics-trends-2022-blog

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 topics like machine learning and
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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 online are numerous. However, to
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Health and Beauty Industry Trends – Facial Moisturizer

What are customers looking for when buying a facial moisturizer? What are the top selling points of a product? Who is buying each product and why? It is necessary to maintain a daily skincare routine to keep your skin healthy. However, regardless of skin type, it depends on the products

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 company, timing, and insurance just

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 need to have a large