scholarly journals Use Python Data Analysis to Gain Insights from Airbnb Hosts

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zichun Tian
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Data Science ◽  
Compelling Evidence ◽  
External Data ◽  
Depth Analysis ◽  
The Future ◽  
The Many

This paper uses Python and its external data processing package to conduct an in-depth analysis machine study of Airbnb review data. Increasingly, travelers are now using Airbnb instead of staying in traditional hotels. However, in such a growing and competitive Airbnb market, many hosts may find it difficult to make their listings attractive among the many. With the development of data science, the author can now analyse large amounts of data to obtain compelling evidence that helps Airbnb hosts find certain patterns in some popular properties. By learning and emulating these patterns, many hosts may be able to increase the popularity of their properties. By using Python to analyse all data from all aspects of Airbnb listings, the author proposes to test and find correlations between certain variables and popular listings. To ensure that the results are representative and general, the author used a database containing many multidimensional details and information about Airbnb listings to date. To obtain the desired results, the author uses the Pandas, NLTK, and matplotlib packages to better process and visualize the data. Finally, the author will make some recommendations to Airbnb hosts based on the evidence generated from the data in many ways. In the future, the author will build on this to further optimize the design.

scholarly journals PELATIHAN PENGOLAHAN DATA PENELITIAN BERBASIS SOFTWARE STATISTIK UNTUK MAHASISWA di JABOTABEK

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Daryati Daryati ◽  
Riyan Arthur ◽  
Tommy Eka Miharja ◽  
Nasaruddin Ishak ◽  
Nur Rochimah
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Statistical Software ◽  
Training Activity ◽  
Data Processing Software ◽  
Accuracy And Precision ◽  
Questions And Answers ◽  
Training Activities ◽  
The Many

This service is carried out on the basis of statistics which is considered a difficult science because there are many formulas that require accuracy and precision in their calculations. As well as the many problems of students' inability to access data processing software caused by the low level of literacy in students. This service is a training activity for data processing research based on statistical software that aims to improve the quality of human resources through the ability of students to process research data. The partners of this service are universities around BODETABEK with a focus on training activities on statistical software-based data analysis techniques such as SPSS and JASP for final year students at BODETABEK. The methods used in this training activity include lectures, discussions, questions and answers, direct demonstrations and assignments. These methods were developed according to the current situation and conditions. The target to be achieved in the implementation of this activity is to improve the ability of students to carry out data analysis with the help of software such as SPSS and JASP. In addition, as an output, coaching participants are expected to be able to use SPSS and JASP software in thesis and research which can then be uploaded

Game Data Science: An Introduction

2021 ◽  
pp. 1-32
Author(s):  
Magy Seif El-Nasr ◽  
Truong Huy Nguyen Dinh ◽  
Alessandro Canossa ◽  
Anders Drachen
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Data Collection ◽  
Data Processing ◽  
Data Science ◽  
Data Driven ◽  
Game Development ◽  
Collection Data ◽  
Support Decision Making ◽  
Over Time

This chapter introduces the topic of this book: Game Data Science. Game data science is the process of developing data-driven techniques and evidence to support decision-making across operational, tactical, and strategic levels of game development, and this is why it is so valuable. This chapter introduces this topic as well as outlines the process of game data science from instrumentation, data collection, data processing, data analysis, to reporting. Further, the chapter also discusses the application of game data science, as well as its utility and value, to the different stakeholders. The chapter also includes a section discussing the evolution of this process over time, which is important to situate the field and the techniques discussed in the book. The chapter also outlines established industry terminologies and defines their use in the industry and academia.

scholarly journals ANALISIS PENYAJIAN FOTO BERITA PADA SURAT KABAR HARIAN UMUM RAKYAT BENGKULU

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Fardiana
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Descriptive Analysis ◽  
Human Interest ◽  
Analysis Techniques ◽  
Black And White ◽  
Interview Techniques ◽  
Written Word ◽  
The Many ◽  
Processing Techniques

In journalistic work, photo has a very important role, such as beautify the pages and make the reader does not get tired reading. Each incoming photojournalism was selected by the photo editor to be considered whether a photo was appropriate and decent published in accordance with the written word. This research used observation and interview techniques to collect data. Data analysis techniques used by researcher was a descriptive analysis of data processing techniques. The photos presented Harian Rakyat Bengkulu were color photos and black and white photos. Based on the results of the discussion and explanation of this research from February 14 to March 14, it could be concluded that: The photos displayed on Harian Rakyat Bengkulu had various types which include spot News, Human Interest, Photo story, Feature Photo, and Photo Document. But of the many photos attached, most photos appearing in each edition were Spot News and stories.Keywords: photo, news, newspaper

scholarly journals A Survey on the Evolution of Data Analytics and the Future in Data Science

2020 ◽  
Vol 5 (8) ◽  
pp. 1699-1703
Author(s):  
Deepa Mary Thomas
Keyword(s):  
Data Analysis ◽  
Data Analytics ◽  
Data Science ◽  
Analytic Model ◽  
Different Types ◽  
The Future ◽  
Clear Idea ◽  
Data Analytic

This paper cornerstone on the concepts of Data Analytics, different types of Data Analytics and the evolution of Data Analytics into the latest Prescriptive Data Analytic model. I hope this paper will be very helpful for everyone who wants to get a clear idea about the concepts of Data Analysis and the Data Analytics

scholarly journals Development of data science education curriculum to foster intellectual information creativity

Impact ◽  
2021 ◽  
Vol 2021 (2) ◽  
pp. 11-13
Author(s):  
Kazuhiro Aoyama
Keyword(s):  
Science Education ◽  
Data Analysis ◽  
Data Processing ◽  
Health Outcomes ◽  
Data Science ◽  
Human Beings ◽  
Traffic Patterns ◽  
Education Curriculum ◽  
Computing Power ◽  
New Information

Technology has certainly played a role in our ability to collect and store mountains of data on everything from traffic patterns, shopping habits and health outcomes. And, advances in algorithms and computing power have allowed us to analyse this data more quickly. But data is only as useful as the questions being asked and analysed. For this reason, researchers at Aichi University of Education in Japan are working to revamp the way data analysis and statistics are taught to students. Their goal is to provide students with a better understanding of the power of data and statistical analyses and go beyond simply calculating stats and returning the correct answers on exams.<br/> Professor Kazuhiro Aoyama is working with colleagues, including Professor Yoshinori Fujii of University of Miyazaki and Professor Yuichi Oguchi of Ibaraki University, to develop a new educational curriculum for data analysis and statistics and test it in classrooms all over Japan.<br/> The goal of the new curriculum being tested in classrooms revolves around a concept called intellectual information creativity. This concept reflects a student's ability to use their imagination when confronted with a dataset in order to make sense of and interpret the characteristics of the data. In an era when data processing can be done quickly with software, it is necessary for human beings to find meaning from data and education should teach students to engage in activities to discover new information.

Delay Discounting in Impulsive Behavior

2019 ◽  
Vol 24 (4) ◽  
pp. 312-321 ◽  
Author(s):  
Diana Moreira ◽  
Fernando Barbosa
Keyword(s):  
Delay Discounting ◽  
Human Subjects ◽  
Empirical Studies ◽  
Cochrane Collaboration ◽  
Initial Assessment ◽  
Impulsive Behavior ◽  
Manual Search ◽  
Study Results ◽  
Depth Analysis ◽  
The Future

Abstract. Delay discounting (DD) is the process of devaluing results that happen in the future. With this review, we intend to identify specificities in the processes of DD in impulsive behavior. Studies were retrieved from multiple literature databases, through rigorous criteria (we included systematic reviews and empirical studies with adult human subjects), following the procedures of the Cochrane Collaboration initiative. Of the 174 documents obtained, 19 were considered eligible for inclusion and were retained for in-depth analysis. In addition, 13 studies from the manual search were included. Thus, a total of 32 studies were selected for review. The objectives/hypotheses, results, and the main conclusion(s) were extracted from each study. Results show that people with pronounced traits of impulsivity discount rewards more markedly, that is, they prefer immediate rewards, though of less value, or postponed losses, even though they worsen in the future. Taken together, the existing data suggest the importance of inserting DD as a tool for initial assessment in conjunction with measures of addiction and stress level, as well as the consideration of new therapies.

The future role of the psychiatrist in Europe – a UEMS perspective

2014 ◽  
Vol 11 (01) ◽  
pp. 35-42
Author(s):  
M. Hermans
Keyword(s):  
Mental Health ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
General Interest ◽  
Future Role ◽  
Personal Opinion ◽  
The Future ◽  
The Subject ◽  
The Many

SummaryThe author presents his personal opinion inviting to discussion on the possible future role of psychiatrists. His view is based upon the many contacts with psychiatrists all over Europe, academicians and everyday professionals, as well as the familiarity with the literature. The list of papers referred to is based upon (1) the general interest concerning the subject when representing ideas also worded elsewhere, (2) the accessibility to psychiatrists and mental health professionals in Germany, (3) being costless downloadable for non-subscribers and (4) for some geographic aspects (e.g. Belgium, Spain, Sweden) and the latest scientific issues, addressing some authors directly.

Every Olive Tree in the Garden of Gethsemane

2013 ◽  
Vol 3 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Wendy Babcox
Keyword(s):  
Olive Tree ◽  
Photographic Images ◽  
The Future ◽  
Olive Trees ◽  
The Many ◽  
Radical Transformation

Every Olive Tree in the Garden of Gethsemane is a suite of photographic images of each of the twenty-three olive trees in the garden. Situated at the foot of the Mount of Olives in Jerusalem, the Garden of Gethsemane is known to many as the site where Jesus and his disciples prayed the night before his crucifixion. The oldest trees in the garden date to 1092 and are recognized as some of the oldest olive trees in existence. The older trees are a living and symbolic connection to the distant past, while younger trees serve as a link to the future. The gnarled trunks seem written with the many conflicts that have been waged in an effort to control this most-contested city; a city constantly on the threshold of radical transformation.

Software platform for automated preparation and analytical processing of heterogeneous datasets

2020 ◽  
pp. 15-20 ◽  
Author(s):  
E. D. Avedyan ◽  
I. V. Voronkov
Keyword(s):  
Data Processing ◽  
Analytical Data ◽  
Volume Growth ◽  
Software Platform ◽  
External Data ◽  
Heterogeneous Datasets ◽  
Data Volume ◽  
Processing Resources ◽  
Modular Platform ◽  
Network Technologies

Summary: the article proposes new software platform for automating the processes of preprocessing and marking up datasets with the aim of further solving analytical problems such as image classification and processing textual and parametric information using neural network technologies. The software platform uses modern technologies and combines a large number of methods in the form of a modular platform, which can be supplemented as the tasks of analytical data processing become more complicated. The need to develop such a software platform is dictated primarily by the fact that, given the current level of data volume growth, the actual transition to deep data analytics remains unattainable without such software platforms, since confidentiality, access to information and the use of external data processing resources are required.

scholarly journals Record linkage of routine data with cohorts’ data of infants under European and Portuguese law

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Doetsch ◽  
I Lopes ◽  
R Redinha ◽  
H Barros
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Data Protection ◽  
Record Linkage ◽  
Data Science ◽  
Personal Data ◽  
Routine Data ◽  
Cohort Data ◽  
Education Data ◽  
Explicit Consent

Abstract The usage and exchange of “big data” is at the forefront of the data science agenda where Record Linkage plays a prominent role in biomedical research. In an era of ubiquitous data exchange and big data, Record Linkage is almost inevitable, but raises ethical and legal problems, namely personal data and privacy protection. Record Linkage refers to the general merging of data information to consolidate facts about an individual or an event that are not available in a separate record. This article provides an overview of ethical challenges and research opportunities in linking routine data on health and education with cohort data from very preterm (VPT) infants in Portugal. Portuguese, European and International law has been reviewed on data processing, protection and privacy. A three-stage analysis was carried out: i) interplay of threefold law-levelling for Record Linkage at different levels; ii) impact of data protection and privacy rights for data processing, iii) data linkage process' challenges and opportunities for research. A framework to discuss the process and its implications for data protection and privacy was created. The GDPR functions as utmost substantial legal basis for the protection of personal data in Record Linkage, and explicit written consent is considered the appropriate basis for the processing sensitive data. In Portugal, retrospective access to routine data is permitted if anonymised; for health data if it meets data processing requirements declared with an explicit consent; for education data if the data processing rules are complied. Routine health and education data can be linked to cohort data if rights of the data subject and requirements and duties of processors and controllers are respected. A strong ethical context through the application of the GDPR in all phases of research need to be established to achieve Record Linkage between cohort and routine collected records for health and education data of VPT infants in Portugal. Key messages GDPR is the most important legal framework for the protection of personal data, however, its uniform approach granting freedom to its Member states hampers Record Linkage processes among EU countries. The question remains whether the gap between data protection and privacy is adequately balanced at three legal levels to guarantee freedom for research and the improvement of health of data subjects.

Sign in / Sign up

Export Citation Format

Share Document