Статистический анализ демографических и пользовательских данных

Уровень 0 · материалов: 5

В кластер включаются документы, описывающие применение количественных методов анализа данных для изучения демографии или поведения пользователей, и исключаются документы о создании сервисов для подбора подарков.

Общие признаки: использование статистических данных, анализ демографических характеристик, дата-майнинг, исследование пользовательских профилей

Группа выше: Статистический анализ данных

Материалы

• #26939 — Statistical Analysis of LovePlanet User Profiles — Представитель этого кластера

  Лавпланет в цифрах — stifff

  Смысл: The text presents a data-mining project where the author scraped a dating site to determine the average characteristics of female users in Moscow, revealing correlations between age and socioeconomic/physical traits.

  A programmer scraped 64,976 female profiles from LovePlanet to create a statistical portrait of the average Moscow user aged 20-34.

• #11581 — Data Mining Analysis of Adult Film Performers

  Дата-майнинг 10 000 актёров порно — alizar

  Смысл: The main idea is to use statistical data mining to replace cultural myths about adult film stars with empirical evidence regarding their physical appearance and career patterns.

  A statistical analysis of 10,000 adult film stars reveals that the 'average' performer is a dark-haired woman from California, debunking common stereotypes about the industry.

• #180 — Analysis of Russia's Population Pyramid 1946-2036

  Анализ половозрастной пирамиды России с 1946 по 2036 гг — escoman

  Смысл: The text presents a data-driven analysis of Russia's age-gender structure from 1946 to 2036, aiming to debunk common stereotypes about the gender imbalance and marriage trends using official statistical data.

  A data-driven investigation debunking myths about Russia's gender imbalance and analyzing the correlation between population structure and marriage trends.

• #12444 — Gender-Based Search Suggestions at Mail.Ru

  Впервые в Рунете: гендерные подсказки — V_Komissarova

  Смысл: The text informs readers that Mail.Ru has introduced gender-personalized search suggestions by leveraging anonymized data from its email and social network ecosystem to improve user relevance.

  Mail.Ru has implemented the first gender-based search suggestions in the Russian internet segment by utilizing anonymized user demographic data.

• #25464 — iOS and Android Device Statistics in Russia

  Статистика по iOS и Android-устройствам в России — shaida

  Смысл: The text provides a statistical comparison of iOS and Android users in Russia based on social network data, highlighting differences in geography, age, and demographics to illustrate platform popularity and user profiles.

  A statistical breakdown of iOS and Android users in Russia based on social network advertising data from 2012.