Parse.com每周活跃用户,将JSON数据库转换为.csv进行分析

时间:2021-12-03 15:12:57

I don't know how to use Parse so I'm open to all ideas. I want to analyze how many weekly active users we have, and would also like to perform "cohort analysis" ie track analytics between two distinct types of users. (like which month they downloaded, how long do they keep the app installed etc).

我不知道如何使用Parse所以我对所有想法持开放态度。我想分析我们有多少每周活跃用户,并且还希望执行“群组分析”,即跟踪两种不同类型用户之间的分析。 (比如他们下载了哪个月,他们保持应用程序安装了多长时间等)。

My main question is, how can I analyze the data that parse spits out? I exported the data and it comes in a JSON file. What do I do with this? I was hoping it would be a .csv file that I could analyze in Matlab or with Python or VBA.

我的主要问题是,如何分析解析吐出的数据?我导出了数据,它出现在JSON文件中。我该怎么办?我希望它是一个.csv文件,我可以在Matlab或Python或VBA中分析。

Any guidance would help, I don't know what to do with json files haha

任何指导都会有所帮助,我不知道如何处理json文件哈哈

1 个解决方案

#1


A great way to start is by familiarizing yourself with JSON by heading over to its official resource page at http://www.json.org/. Once you get your JavaScript Object Notation legs on, then proceed to use json.load as inspectorG4dget recommended.

一个很好的方法是通过浏览http://www.json.org/上的官方资源页面来熟悉JSON。启用JavaScript Object Notation后,继续使用json.load作为inspectorG4dget推荐。

#1


A great way to start is by familiarizing yourself with JSON by heading over to its official resource page at http://www.json.org/. Once you get your JavaScript Object Notation legs on, then proceed to use json.load as inspectorG4dget recommended.

一个很好的方法是通过浏览http://www.json.org/上的官方资源页面来熟悉JSON。启用JavaScript Object Notation后,继续使用json.load作为inspectorG4dget推荐。