Descriptive statistics is a branch of statistics that focuses on the collection, organisation, analysis and presentation of data. It is used to describe and summarise numerical and categorical data in a clear and concise manner.
Descriptive statistics can be used in artificial intelligence and machine learning to explore and understand a dataset before applying more advanced analysis techniques. Some of the most common descriptive statistics measures are mean, median, mode, standard deviation and range. These measures provide information about the distribution, centrality and variability of the data.
Descriptive statistics can also include the construction of graphs and charts to help visualise data effectively. Some of the most common graphs are histograms, box and whisker plots and scatter plots.
Unlike inferential statistics,which seeks to draw conclusions, descriptive statistics seeks only a simple description of the data.
Software as a Service (SaaS) companies have gained enormous prominence in the last few years, mainly due to the novelty of the products [...]
Read More »The first thing you need to know is the limits of AI and after mastering the basic concepts you will be able to build a large commercial software with intelligent [...]
Read More »Achieving business goals and tracking success is an important aspect of improving any business. In sales, measuring the progress of [...]
Read More »What is Digital Transformation? The industrial revolution profoundly changed the society of the 19th century, but the digital transformation of the [...]
Read More »