Rapid Fire on Data Analytics

KNN (K-nearest neighbour) is an algorithm that is used for matching a point with its closest k neighbours in a multi-dimensional space. In data analytics, KNN imputation is a technique used to fill in missing values in a dataset based on the values of its nearest neighbors. Here’s how it works: Identify missing values: First, … Read more

A good data analyst would be able to understand the market dynamics and act accordingly to retain a working data model so as to adjust to the new environment. The frequency with which a data model should be retained depends on various factors including the nature of the data, the rate of change in the … Read more

Data profiling is usually done to assess a dataset for its uniqueness, consistency and logic. It cannot identify incorrect or inaccurate data values. Data mining is the process of finding relevant information which has not been found before. It is the way in which raw data is turned into valuable information. Data mining and data … Read more

Any observation that lies at an abnormal distance from other observations is known as an outlier. It indicates either a variability in the measurement or an experimental error. In the context of data analytics, an outlier refers to a data point or observation that significantly deviates from the rest of the data in a dataset. … Read more

The various types of data validation methods used are: Field Level Validation – validation is done in each field as the user enters the data to avoid errors caused by human interaction. Form Level Validation – In this method, validation is done once the user completes the form before a save of the information is … Read more