Descriptive analysis is a data analysis technique used to describe and summarise data from a sample or population. This technique involves the use of statistical measures and graphs to summarise and visualise characteristics and patterns in the data.
Descriptive analysis is commonly used in data exploration, where statistical techniques are used to identify patterns and trends in the data. It is also used in scientific research to describe the characteristics of a sample or population.
Statistical measures used in descriptive analysis include measures of central tendency, such as mean, median and mode, and measures of dispersion, such as variance and standard deviation. Graphs, such as histograms, box plots and scatter plots, are also used to visualise the data and summarise its characteristics.
Descriptive analysis is an important technique in data analysis and is often the first step in the data analysis process. It provides valuable information about the characteristics of the data and helps to identify patterns and trends that can be used in further analysis.
You are probably wondering, what is surety insurance and how does it help your company? In today's economic environment, [...]
Read More »Today we are going to talk about the generation of qualified leads for the acquisition of new customers through AI. At Gamco, we develop software based on [...]
Read More »5 Big Data challenges can be highlighted which are defined as V (volume, velocity, veracity, variety and value). R. Narasimhan discussed 3V with [...]
Read More »In the dynamic financial world, optimizing the return on available assets is essential to the success of any lender. Gam [...]
Read More »