| Summary: | According to the research of the international agency "We are social" in 2018 there are 5.135 billion mobile users in the world, which is 68% of the total population. Each mobile device generates data that can be used for application purposes. The article consists of two parts. The first part provides a brief overview of how to process four types of data from smartphones: cellular operator data, accelerometer data, GPS and Wi-Fi sensors. The overview of each group of methods is systematized in the form of tables, which will help to quickly find a method to solve the desired task or to process the available data. The second part is devoted to identifying the main advantages and disadvantages of using each type of data. This information is also presented in the form of a table, which allows you to choose the right type of data for the task. This paper provides an overview of the articles on the analysis of the main shortcomings and ways to overcome them, in particular, crowdsourcing. The conclusion is that further development in the analysis of data obtained from smartphones may consist in solving existing problems, finding new applications and sharing different types of data.
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