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Tag: R

Targets R package for managing workflows

Workflows help us to keep a clear structure of the flow we are building, allow for easier steps traceability and simplified maintenance. They are especially useful when dealing with data science work, where heavy computations take time to run. In R world first popular package to deal with pipelines was drake. It allows not only […]

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xgboost time series forecast in R

xgboost, or Extreme Gradient Boosting is a very convenient algorithm that can be used to solve regression and classification problems. You can check may previous post to learn more about it. It turns out we can also benefit from xgboost while doing time series predictions.

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Data forecasting

Data forecasting is a process of estimating the future based on historical values. It is described by time series, which is simply a series of time dependent data points. We usually forecast different costs or sales over time. We can try to predict weather conditions or model stock changes. Basically look at any process that can be described as time dependent with certain time interval (hourly, daily, monthly…).

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Excel formatting with R

Many times there is a demand from end users to deliver results in a form of Excel files. The bigger and more complex the files grow, the more difficult it is to properly interpret them. This is when nice formatting can help you out.

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