I am so obsessed with the idea to run a A/B test - the method for product improvement. With the limit to reach out the data, I accidentally found a dataset on Kaggle. By analyzing the data, which is the result of a test, I applied my statistical knowledge and my R coding skill. The code is published on Kaggle.
https://www.kaggle.com/jianglan2017/a-b-testing-result-analysis-in-r?scriptVersionId=9627184
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I recently took the course A/B Testing on Udacity. It provides a final project to help me understand the concepts and know the statistical concepts. A/B testing, at its most basic, is a way to compare two versions of something to figure out which performs better. -- Amy Gallo, A Refresher on A/B Testing, HBR It is a very common method for web analytics and product improvement. From this Udacity project, I had an overview of this method...
Recently, I am dealing with tables join with datasets from different data sources. I have imdb dataset and Yahoo movie dataset to build a linear prediction model based on a user's rating history.
Here is a small practice with 'dplyr' package in R, the must have technique to have in the data cleaning process. I am using R to collect data from Twitter so that I can monitor the fashion brands on the social media.
Tableau主要是用来做数据可视化的软件(此处省略三百字介绍,请自己百度),Tableau官方推荐有5个月以上的Tableau Desktop经验来考这个证书会比较合适,但是这篇文章主要介绍Tableau小白如何在短时间内取得Tableau Desktop (Qualified Associate)初级证书(简单粗暴是我的目标)。 如果想了解Tableau的各种用法以及疑惑,请移步Tableau Community或者其他教学网站。
好了,下面开始我的回(biao)答(yan)... https://movio.co/en/blog/Sarah-Lewthwaite-Big-Data-targeted-marketing/
翻译自《从数据中找到电影观众的规律:制作和发行Finding Moviegoers In The Numbers: Production and Distribution》
了解电影产业链中各个阶段观众的人口统计数据和行为对一部电影的成功至关重要。 制作方面,作者讲到: MOVIO的数据科学家团队最近跟AARP(美国退休人员协会)合作,进行了一项针对美国年长人群的研究,同时认定出一个新兴的电影类别:成熟动作电影。这些充满肌肉感的电影,如《疾风营救Taken》系列,《侠探杰克Jack Reacher》系列,《碟影特工November Man》和《犯罪Criminal》启用了老牌的演员,像连姆·尼森Liam Neeson,凯文·科斯特纳Kevin Costner,皮尔斯·布鲁斯南Pierce Brosnan和汤姆·克鲁斯Tom Cruise。他们的观众是年纪比较大的男性观影人群,他们对这些影星已经忠实得跟随了好几十年。 好莱坞以尝试为不同的,更广泛的观众改编成功电影而闻名。
翻译自文章《Netflix是如何利用数据分析进行电影筛选,内容创作和做出数百万美金决定的 How Netflix Uses Analytics To Select Movies, Create Content, and Make Multimillion Dollar Decisions》
从分析《发展受阻》开始: 如果你观看过《发展受阻》(Arrested Development)这部美剧,Netflix可以(很大程度上)得到用户的“完成率”(目前还没有一个专用名词来定义这个概念)。例如,如果Netflix想得知“有多少观众完完整整观看完了《发展受阻》的第一季到第三季?”那么答案就在那里。让我们假设是70%。 接下来Netflix会问:“用户在哪里暂停了进度条?““其他30%的用户做了什么?”“观众在观看两集剧集中间会间隔多久?”由此得出:我们需要得到全面的观众参与度的信息。 |
AuthorLan Jiang is a data analyst with a media industry origin. She is enthusiastically learning about the latest machine learning and data tools to know the audience and customers thoroughly. Archives
January 2019
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