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.
Normally the acronym NPLs (Non Performing Loans) is used in the financial sector and is a reality in Spanish banks as well as in banks [...].
Read More »The integration of tools for predictive analytics is already commonplace in large companies, but thanks to the evolution and, above all, to the dem [...]
Read More »As e-commerce continues to grow at a dizzying pace, fraudsters are also finding new and sophisticated ways to exploit the potential [...]
Read More »After the revolutions led by coal, electricity, and then electronics, society is now witnessing a fourth revolution in the energy sector.
Read More »
