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Take Your Kids to Work Day

We had a few grade nine students in today, as part of Take Your Kids to Work Day. Here’s what they had to say about the experience:

“Polaris Intelligence is a subscription based website that provides data, market insight, and customizes data for clients. Polaris is a fast and easy website to use where you can easily access points of interest in different neighbourhoods and research what kinds of people live in different trade areas. […]

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Education Makes a More Shared Financial Responsibility

  Over 57% Canadians of age 18 years or older have college or university degree. According to the Canadian Financial Capability Survey (CFCS) from Statistics Canada, people with high education are much more likely to share responsibilities of paying regular bills. For example, 28% of people with the university graduate degree share their responsibility equally […]

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Young Canadians Are Eager to Acquire Financial Knowledge

In the year 2014 Statistics Canada conducted the Canadian Financial Capability Survey (CFCS) among population 18 years of age and over living in Canada. This survey provides insights on Canadians’ knowledge, abilities, and behaviour concerning financial decision-making. Manifold has been studying this survey and mining patterns of consumer financial behavior. […]

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Manifold Presented and Exhibited at BIG DATA TORONTO

  Michelle Fernandes, VP of Sales, gave a talk on “A Transition from Old to New Techniques of Trade Area Analysis” at the BIG DATA TORONTO Conference and Trade Show on June 12th and 13th, 2018. Using examples, Michelle discussed how to move from the traditional and static trade area (circles, drive time, gravity models) […]

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2016 Census: The Best Ever

  Census 2016 was officially taken on May 10th, 2016. According to Statistics Canada, the Census 2016 is the best one of the last 350 years since the first Census in year 1666. Firstly, the response rate (98.4%) of overall collection of Census 2016 is outstanding and best ever. Secondly, response rates to individual questions […]

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Statistical Analysis and Approximate Models

  Statistical Analysis consists often of two parts. With a real big data an analyst will start with Explorative Data Analysis, e.g., Histograms Distribution Analysis Q-Q Plots (Quantile-Quantile) Goodness-of-Fit Tests Scatter Plots Outliers Identification and Analysis Diagnostics Transformations Tests of Independence Correlation Analysis Based on the insight gained from the Explorative Data Analysis, the data analyst […]

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