• 제목/요약/키워드: naver data lab

검색결과 17건 처리시간 0.192초

IT 기업 사무직 근로자의 대사증후군 예방을 위한 맞춤형 운동프로그램의 효과 (Effect of Individualized Exercise Program for Preventing Metabolic Syndrome among IT Company Office Workers)

  • 배경운;유승현;신다비;하윤철;김홍민;박병찬;김효상;박신애
    • 한국산업보건학회지
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    • 제34권1호
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    • pp.77-84
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    • 2024
  • Objectives: Interventions promoting physical exercise and healthy habits in workplaces have been shown to be effective in reducing risk factors for metabolic syndrome. This study was conducted to examine the effects of an individualized conditioning exercise program of IT company office workers with or at higher risk of metabolic syndrome. Methods: A total of 444 IT company office workers with or at higher risk of metabolic syndrome participated in a 3-month conditioning exercise program. Body composition data using bioelectrical impedance analysis and cardiopulmonary data using cardiopulmonary exercise testing from 53 individuals (mean age: 34.8 ± 7.1 years, sex : 21% female, height : 170.4 ± 6.8 cm, weight : 75.2±12.2 kg, body mass index : 25.8±3.3 kg/m2) who have successfully completed pre-test, intervention, and post-test were analyzed. The 12 weeks intervention encompassed: (1) health counseling (2) supervised exercise(endurance-based, aerobic exercise, or circuit training once a week for 50 minutes at heart rate reserve(HRR) of 77-95%) (3) self-directed exercise and biweekly health screening checks. Results: The results indicated a significant decrease in body weight, body fat mass and body mass index, respectively. Moreover, VO2peak, AT VO2 and AT Time significantly improved, respectively. Resting blood pressure(SBP/DBP) showed positive changes but were not statistically significant. We observed the correlation between characteristics of participants and rate of changes in cardiopulmonary outcomes of participants, there are no significant correlation. These results indicate positive changes in body composition and cardiorespiratory fitness parameters following individualized conditioning exercise program. Conclusions: Individualized workplace exercise program for preventing metabolic syndrome can lead to improvements in body composition and cardiorespiratory fitness.

NAVER DATA LAB 데이터 기반 과거 한반도 홍수에 대한 대중 인지도 취약성 평가 (2011-2018) (NAVER Data Lab data-based Assessment of National Awareness Vulnerability of Past Floods over the Korean Peninsula (2011-2018))

  • 이은미;유영욱;정영훈;감종훈
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.59-59
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    • 2023
  • 기후변화로 인한 집중호우와 홍수는 하천의 범람, 내수침수 등을 일으킨다. 최근 발생한 2022년9월 태풍 '힌남노'는 포항시 10명의 인명 피해와 1조 7000억원의 재산 피해로 막대한 피해를 야기시켰다. 본 연구는 2011년부터 2018년까지 시군구 단위의 행정구역별 홍수 기간 강우량, 피해액, 홍수 지역의 인구 자료를 NAVER DATA LAB(2016년부터 자료 제공) '홍수' 검색량 데이터와 비교 분석하였다. 본 연구에서는 다량의 강우량 또는 높은 피해액이 발생한 시기에 홍수 검색량이 낮았던 지역을 홍수에 대한 대중 인지도가 취약한 지역으로 정의하였다. '홍수' 검색량과 강우량, 피해액, 홍수 지역 인구와의 상관관계를 분석한 결과, 강우량과 인구는 각각 0.86, 0.81의 높은 상관계수를 보인 반면, 피해액은 0.52로 상대적으로 낮은 상관관계를 보였다. 2016-2018년 특/광역시단위 분석 결과, 총 17번의 홍수 발생 중 '인천광역시'와 '세종특별시'에서 피해액 규모가 각각 2, 3순위로 높았던 반면 홍수 인지도는 각각 6, 11순위로 홍수 인지도가 취약한 지역으로 평가되었다. 도 단위 평가 시, 총 34번의 홍수 발생 중 '강원도'와 '경상북도'에서 피해액 규모 3순위, 강우량 10순위 일 때, 홍수 인지도는 27순위로 홍수 인지도가 취약한 지역으로 평가되었다. 다중 선형회귀 기법을 통해 2016년부터의 데이터를 기반으로 모델을 훈련하여 2016년 이전의 '홍수' 검색량 예측 자료를 재생산하였다. 2011-2015년 특/광역시 중심의 평가에서, 총 25번의 홍수 발생 중 부산광역시에서 피해액 규모가 1순위, 강우량이 2순위로 높았던 반면 홍수 인지도는 6순위로 홍수인지도가 취약한 지역으로 평가되었다. 도 단위 평가 시, 총 50번의 홍수 발생 중 '충청남도'와 '경기도'에서 피해액 규모가 3순위일 때 홍수 인지도가 7순위로 홍수 인지도가 취약한 지역으로 평가되었다. 본 연구는 물리·사회시스템의 빅데이터를 분석하여, 사회수문학적 접근 방식으로 홍수에 대한 사회적 취약성을 새롭게 제시하며 사회과학과 수자원 분야의 융합연구 필요성을 강조하였다.

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네이버 데이터랩 검색어 트렌드 서비스를 이용한 온라인 포털에서의 한약재 검색 트렌드와 의미에 대한 고찰 (A Study on the Trend and Meaning of Searching for Herbal Medicines in Online Portal Using Naver DataLab Search Trend Service)

  • 김영식;이승호
    • 대한본초학회지
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    • 제36권5호
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    • pp.1-14
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    • 2021
  • Objectives : From January 2020, when the first confirmed case of COVID-19 in Korea, the use of health information using the Internet is expected to increase. It is expected that there will be a significant change in the general public's interest in Korean herbal medicines for health care. Therefore, in this study, we tried to confirm the change in the search trend of Korean herbal medicines after the COVID-19 epidemic. Methods : Using the "Naver DataLab (http://datalab.naver.com)" service of a Korean portal site Naver, search volume was investigated with 606 Korean herbal medicines as keywords. The search period was from January 2020, right after the onset of COVID-19, to June 2021. The search results were sorted by the peak search volume and the total search volume. Results : 'Cheonsangap (천산갑, 穿山甲, Manitis Squama)' was the most searched Korean herbal medicine in the peak search volume and total search volume with least bias. Conclusions : The problem of supply and demand of Korean herbal medicines of high public interest was identified. Broadcasting and media exposure were the factors that had a big impact on the search volume for Korean herbal medicines. As it was confirmed that the search volume for Korean herbal medicines increased rapidly due to media exposure, it is necessary to provide correct information about Korean herbal medicines, improve public awareness, and manage stable supply and demand based on continuous search trend monitoring.

온라인 포털에서 한약재 검색 트렌드와 의미에 대한 고찰 (A study of Search trends about herbal medicine on online portal)

  • 이승호;김안나;김상현;김상균;서진순;장현철
    • 대한본초학회지
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    • 제31권4호
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    • pp.93-100
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    • 2016
  • Objectives : The internet is the most common method to investigate information. It is showed that 75.2% of Internet users of 20s had health information search experience. So this study is aim to understanding of interest of public about the herbal medicine using internet search query volume data.Methods : The Naver that is the top internet portal web service of the Republic of Korea has provided an Internet search query volume data from January 2007 to the current through the Naver data lab (http://datalab.naver.com) service. We have collected search query volume data which was provided by the Naver in 606 herbal medicine names and sorted the data by peak and total search volume.Results : The most frequently searched herbal medicines which has less bias and sorted by peak search volume is 'wasong (와송)'. And the most frequently searched herbal medicines which has less bias and sorted by total search volume is 'hasuo (하수오)'.Conclustions : This study is showed that the rank of interest of public about herbal medicines. Among the above herbal medicines, some herbal medicines had supply issue. And there are some other herbal medicines that had very little demand in Korean medicine market, but highly interested public. So it is necessary to monitor for these herbal medicines which is highly interested of the public. Furthermore if the reliability of the data obtained on the basis of these studies, it is possible to be utilizing herbal medicine monitoring service.

Can Big Data Help Predict Financial Market Dynamics?: Evidence from the Korean Stock Market

  • Pyo, Dong-Jin
    • East Asian Economic Review
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    • 제21권2호
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    • pp.147-165
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    • 2017
  • This study quantifies the dynamic interrelationship between the KOSPI index return and search query data derived from the Naver DataLab. The empirical estimation using a bivariate GARCH model reveals that negative contemporaneous correlations between the stock return and the search frequency prevail during the sample period. Meanwhile, the search frequency has a negative association with the one-week- ahead stock return but not vice versa. In addition to identifying dynamic correlations, the paper also aims to serve as a test bed in which the existence of profitable trading strategies based on big data is explored. Specifically, the strategy interpreting the heightened investor attention as a negative signal for future returns appears to have been superior to the benchmark strategy in terms of the expected utility over wealth. This paper also demonstrates that the big data-based option trading strategy might be able to beat the market under certain conditions. These results highlight the possibility of big data as a potential source-which has been left largely untapped-for establishing profitable trading strategies as well as developing insights on stock market dynamics.

빅데이터를 활용한 화병, 우울증, 자살의 검색 상관관계 분석: 2016년부터 2022년까지 (Correlation Analysis among Searches of Hwa-Byung, Depression, and Suicide Using Big Data: from 2016 to 2022)

  • 권찬영;김원일
    • 동의신경정신과학회지
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    • 제34권1호
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    • pp.13-21
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    • 2023
  • Objectives: The aim of this study was to analyze correlations among searches of hwa-byung, depression, and suicide using big data. Methods: Keywords searches were performed using both Google Trends and Naver Data Lab on December 13, 2022. From 2016 to 2022, search results for keywords 'hwa-byung', 'depression', and 'suicide' were extracted with a score between 0 and 100 in terms of relative search popularity (RSP). Monthly time analysis, correlation analysis, and regional analysis were then conducted for these scores. Results: Regardless of the search period, RSP for both portal sites was in the order of 'suicide', 'depression', and 'hwa-byung'. Over time, search for 'depression' tended to increase in Google (slope: 0.0092), whereas search for 'hwa-byung' showed a slight increase in Naver (slope: 0.0024). Correlation coefficient for search terms 'depression' and 'suicide' was 0.3969 in Google Trends and 0.4459 in Naver Data Lab, showing clear positive correlations. On the other hand, there was little correlation between search results of 'hwa-byung' and 'depression' or between 'hwa-byung' and 'suicide'. However, compared to males, females showed higher positive associations between search results of 'hwa-byung' and 'depression' and between 'hwa-byung' and 'suicide'. Search terms 'depression' and 'suicide' showed high RSPs in most regions in South Korea. However, 'hwa-byung' had distinct regional differences in terms of RSP. Conclusions: Results of this study will help us understand Korean public's perception of the relevance of hwa-byung, depression, and suicide and plan future research in this topic. In addition, findings of this study may provide future public health implications for reducing the high suicide rate in Korea.

2대 포털사이트 빅데이터를 이용한 한방관련 키워드 분석 (An Analysis of Key Words Related to Traditional Korean Medicine Using Big Data of Two Search Engines)

  • 안정윤;금가정;장아령;송지청
    • 한국의사학회지
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    • 제30권2호
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    • pp.45-61
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    • 2017
  • Objectives : This research aims to investigate the consumer's interest in the Korean Medicine (KM) industry by using Google-trends and Naver-Data lab. A quick and uncomplicated way for those who are already involved with KM industry but do not have expertise in utilizing Big-data searches, is introduced. Methods : 'Direct keyword' was set by FGI (Focus Group Interview) and 'Detailed keyword' was set by using relevant word search and autocomplete search functions in the search engine. By inquiring Naver-Data lab, keyword search volumes are compared by age and sex, date range, and originating region of the researcher. It is possible to determine whether the data is reliable or authentic through examining the associated query. Selected direct keywords used through FGI (Focus Group Interview) were 'Acupuncture', 'Herbal Medicine', 'Cupping', 'Musculoskeletal Disease', 'Diet', and 'Stemina'. Based on these keywords, the following results were derived from the keyword analysis. Results : From August 2016, there was a noticeable surge of interest in men's 'Cupping'. The search for 'Diet' increased in the second quarter of 2016 from all ages. The search volume of 'Stemna' for individuals in their 20s is higher than that of those in their 30s or 40s'. Researchers from the region of Chungcheongbuk-do had a higher level of interest in analgesics and less interest in Korean Medicine. There is a greater interest in the KM market from European countries and America, than from Korea, China, and other Asian countries. Discussion : Despite the limitations of the research, it is meaningful to introduce a quick and easy data search method to compare information by age, sex, and region. Conclusion : The future of research into Korea Medicine and this market is confirmed by our data results which indicate interest from Europe, the United States, and other western countries, but less interest from Korea, China and other Asian countries.

건강식품 소비자의 한약 및 천연물 온라인 구입 검색 동향 분석 및 고찰 (Analysis of health food consumers' online purchase search trend of herbal medicines and natural products)

  • 김안나;김영식;이승호
    • 대한한의학방제학회지
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    • 제31권1호
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    • pp.67-79
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    • 2023
  • Objectives : The purpose of this study was to confirm the consumption trends of Korean medicine for health food consumption of consumers by using the Naver DataLab Shopping Insight service. Methods : In this study, the search data for the category of Korean herbal ingredients in the health food field of Naver Datalab shopping insight site was collected and sorted in order of frequency from August 1st, 2017 to June 22nd, 2022. The frequently searched keywords were organized based on the inclusion of Korean Pharmacopoeia (KP), Korean Herbal Pharmacopoeia (KHP), and Food Code. Results : 67,804 keywords were collected, and the most frequent keywords appearing for more than 200 days among the top 500 were 827 (1.184%). Among the frequent keywords, there were 149 keywords related to traditional medicine names included in the KP and KHP, and five prescriptions were included. 60 keywords were not included in the KP and KHP, and the keyword with the highest search frequency was "kujibbongnamu" (Maclura tricuspidata). Conclusions : The findings of this study provide information on the consumer's interest in traditional korean medicine (TKM) and natural products (NP), and can be used as a basis for understanding the demand for TKM and NP in the online shopping market.

소셜 빅데이터를 이용한 낙태의 경향성과 정책적 예방전략 (Induced Abortion Trends and Prevention Strategy Using Social Big-Data)

  • 박명배;채성현;임진섭;김춘배
    • 보건행정학회지
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    • 제27권3호
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    • pp.241-246
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    • 2017
  • Background: The purpose of this study is to investigate the trends on the induced abortion in Korea using social big-data and confirm whether there was time series trends and seasonal characteristics in induced abortion. Methods: From October 1, 2007 to October 24, 2016, we used Naver's data lab query, and the search word was 'induced abortion' in Korean. The average trend of each year was analyzed and the seasonality was analyzed using the cosinor model. Results: There was no significant changes in search volume of abortion during that period. Monthly search volume was the highest in May followed by the order of June and April. On the other hand, the lowest month was December followed by the order of January, and September. The cosinor analysis showed statistically significant seasonal variations (amplitude, 4.46; confidence interval, 1.46-7.47; p< 0.0036). The search volume for induced abortion gradually increased to the lowest point at the end of November and was the highest at the end of May and declined again from June. Conclusion: There has been no significant changes in induced abortion for the past nine years, and seasonal changes in induced abortion have been identified. Therefore, considering the seasonality of the intervention program for the prevention of induced abortion, it will be effective to concentrate on the induced abortion from March to May.

포털사이트에서의 피검색빈도와 주식수익률 (Search Frequency in Internet Portal Site and the Expected Stock Returns)

  • 반주일;김명애;전용호
    • 한국산업정보학회논문지
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    • 제21권5호
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    • pp.73-83
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    • 2016
  • 국내 1위 인터넷포털 사업자인 네이버는 사용자가 지정하는 키워드가 특정 기간 동안에 네이버에서 얼마나 자주 검색되었는지에 관한 피검색빈도자료를 제공한다. 본 연구는 네이버의 피검색빈도자료를 활용하여 기업명의 피검색빈도와 그 기업의 미래 주식수익률과의 관계에 대해 분석하였다. 그 결과는 다음과 같다. 첫째, 기업명의 피검색빈도는 극단적 수익률 및 거래회전율과 같은 기존의 투자자 관심(investor attention)변수와 중복되지 않는 새로운 투자자 관심변수이다. 둘째, 금주의 피검색빈도가 높은 기업일수록 그 다음 주의 주간수익률이 높다. 셋째, 피검색빈도가 높은 기업은 이후에도 수익률 반전현상이 관찰되지 않으므로, 피검색빈도는 해당 기업에 대한 본질적 정보를 포함하는 것으로 볼 수 있다. 넷째, 피검색빈도가 주식수익률에 미치는 영향은 시장 수준의 투자자 관심사건(market-wide attention grabbing events)이 발생한 이후 더욱 강하게 나타난다.