FAQ on Data Analytics

The waterfall chart shows both positive and negative values which lead to the final result value. For example, if you are analyzing a company’s net income, then you can have all the cost values in this chart. With such kind of a chart, you can visually, see how the value from revenue to the net … Read more

The complete Hadoop Ecosystem was developed for processing large dataset for an application in a distributed computing environment. The Hadoop Ecosystem consists of the following Hadoop components. HDFS -> Hadoop Distributed File System YARN -> Yet Another Resource Negotiator MapReduce -> Data processing using programming Spark -> In-memory Data Processing PIG, HIVE-> Data Processing Services … Read more

This method is used to impute the missing attribute values which are imputed by the attribute values that are most similar to the attribute whose values are missing. The similarity of the two attributes is determined by using the distance functions. The KNN (K-Nearest Neighbors) imputation method is a technique used to fill in missing … Read more

The following are a few problems that are usually encountered while performing data analysis. Presence of Duplicate entries and spelling mistakes, reduce data quality. If you are extracting data from a poor source, then this could be a problem as you would have to spend a lot of time cleaning the data. When you extract … Read more

Business data keeps changing on a day-to-day basis, but the format doesn’t change. As and when a business operation enters a new market, sees a sudden rise of opposition or sees its own position rising or falling, it is recommended to retrain the model. So, as and when the business dynamics change, it is recommended … Read more