title: ÐÐ»Ð°ÑÑÐµÑÐ½ÑÐ¹ Ð¸ ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ð¹ Ð² ÑÑÐµÑÐµ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Cluster and econometric analysis of financial ratios of the transport industry
Creators: name: ÐÑÐ°ÑÐµÐ²Ð°, ÐÐ½Ð°ÑÑÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÐºÐ»Ð°ÑÑÐµÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÐµ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ð¸
ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð°Ñ Ð¾ÑÑÐ°ÑÐ»Ñ
Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ð¹ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ñ
ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
cluster analysis
financial ratios
transport industry
analysis of the financial activity of the enterprise
econometric analysis

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description: Topic of the final qualifying work: âCluster and econometric analysis of financial indicators of the transport industry.â The purpose of the work is to analyze the financial indicators of the transport industry. The following tasks were solved: - study the relevance of research into standard values of financial indicators; - explore tools for calculating standard values of financial indicators; - study cluster analysis as a tool for calculating standard values of financial indicators; - study the factors influencing the formation of financial indicators; - develop a methodology for calculating standard values of financial indicators using a cluster analysis tool; - describe the methodology for conducting econometric analysis. - conduct cluster analysis of financial indicators using the DBSCAN method; - conduct an econometric analysis of financial indicators. The relevance of the topic is due to the need for companies to analyze financial results to make informed management decisions. The sources of information were data from domestic and foreign scientific research literature, official Internet resources and analytical agencies. The sources of information were data from domestic and foreign research literature, official Internet resources and analytical agencies. A cluster analysis technique using the DBSCAN method was proposed, which allows determining the threshold values of financial indicators characteristic of the industry being analyzed. Econometric analysis is considered to determine the factors influencing the financial result of the enterprise. Analysis, data processing, cluster and econometric analysis were carried out using software in the Jupiter Notebook 6.0.3 development environment using the Python v 3.8.3.