Technical Interview Questions
A data analyst interview question and answers guide will not complete without this question. An outlier is a term commonly used by data analysts when referring to a value that appears to be far removed and divergent from a set pattern in a sample. There are two kinds of outliers – Univariate and Multivariate. The … Read more
There are many ways to validate datasets. Some of the most commonly used data validation methods by Data Analysts include: Field Level Validation – In this method, data validation is done in each field as and when a user enters the data. It helps to correct the errors as you go. Form Level Validation – … Read more
In such a case, a data analyst needs to: Use data analysis strategies like deletion method, single imputation methods, and model-based methods to detect missing data. Prepare a validation report containing all information about the suspected or missing data. Scrutinize the suspicious data to assess their validity. Replace all the invalid data (if any) with … Read more
KNN imputation method seeks to impute the values of the missing attributes using those attribute values that are nearest to the missing attribute values. The similarity between two attribute values is determined using the distance function. In the context of data analytics, KNN imputation is a method used to fill in missing values in a … Read more
Data Profiling focuses on analyzing individual attributes of data, thereby providing valuable information on data attributes such as data type, frequency, length, along with their discrete values and value ranges. On the contrary, data mining aims to identify unusual records, analyze data clusters, and sequence discovery, to name a few. Data profiling and data mining … Read more