He clearly believes that it is necessary to have accurate data of various castes for the purpose of reducing socio-economic inequality and making accurate plans for the welfare of the targeted ...

If the data pass the checks, then we standardise the raw data using processes developed by our data engineers. This may involve renaming variables to make each scanner data feed follow a consistent ...

Abstract: The employment of sub-Nyquist sampling enables the adaptation to the ever-increasing ... initial step size and the sequential calibration process. In this paper, a data-driven digital ...

Random variables allow us to understand the world around us based on a sample of data in this way. We know the likelihood that a specific value will occur in the real world or at some point in the ...

Abstract: Using data-driven technology for soft ... introducing two sampling indicators to extract high-order autocorrelation and cross correlation between multirate variables. The model’s ...

It prioritizes the use of WorkloadIdentityCredential whenever the necessary environment variables are present. If these environment variables are not present, the server will automatically fall back ...

Data is normally distributed, or the sample size is large • Evaluating if a financial change has been effective Regression Predicts the value of one variable based on the value of another ...

In this rapidly-changing digital era, statistical agencies need to find innovative ways to harness the power of data. Statistics Canada is embracing the possibilities of data science to better serve ...

Documentation, sample and data for using VS Code's HTML/CSS custom data format. On the one hand, we continuously curate the data VS Code provides to the HTML/CSS language services. For example, VS ...