Data preparation is the process of cleaning and transforming raw data into organized data so that it can be processed and analyzed further. In data preparation, data is reformatted, corrected, and combined to enrich the data.
Data preparation is complex yet essential to create contextual data, so that the analysis of such data may prove efficient to produce reliable and insightful results. In the absence of preparation, biased data may result in poor analysis and erroneous results.
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Data Preparation
What is Data Preparation Data preparation is the process of cleaning and transforming raw data into organized data so that it can be processed and further analyzed. In data preparation, data is reformatted, corrected, and combined so that it gets ...
Data Preparation in Forecasting
Data Preparation is the process of cleaning and transforming raw data into organized data so that it can be processed and analyzed further. In data preparation, data is reformatted, corrected, and combined to enrich the data. Data preparation is ...
Time-series Data Preparation
Time-series Data Preparation organizes and formats transactional data into time-series data to predict trends and seasonality in the data. Transactional data is timestamped data recorded over a period at no specific frequency, while time-series data ...
Time-series Data Preparation Tests in Forecasting
The different tests available in Time-series Data Preparation under Forecasting are given below. Accumulation Missing Value Transformation Differencing Data Preparation Description The time-series data may contain missing values that need to be ...
Data Joiner
Data Joiner Description Data joiner is a method to join two or more datasets. It is used to join rows based on a related column present in two or more datasets. Why to use For Data Preparation When to use When you want to join two or more datasets. ...