Grammarly的HW，求指点和参考

刚刚收到拒信，现在和大家分享一下。。。。

我投的是他家data scientist岗，海投过后发来一道homework，Glass door上也有人po出来过，在这里我写的详细一些：

The data has 5 columns:

• date: date of the ping
• timestamp: ping timestamp
• uid: unique id assigned to users (if the string is purely numeric, this means the user is registered, otherwise it's a device id)
• isFirst: true if this is the user's first ping ever (some users have been using the app before February)
• utmSource: traffic source from which the user came
  

数据是JSON形式的
[{date: '2016-02-02'}. {timestamp: 21432434254},{uid: 'fsfd54'},{isFirst: True},{utmSource: 'Google'}]

Exercise:

• Show the daily active users over the month, including all users. A user is considered active if they pinged at least once on a given day.
• Calculate the daily retention curve for users who used the app for the first time on the following dates: Feb 4th, Feb 10th, and Feb 14th. Also, show the number of users from each cohort.
  

              Daily retention curve is defined as the % of users from the cohort, who used the product that day

• Determine if there are any differences in usage based on where the users came from. From which traffic source does the app get its best users? Its worst users?
• Separate from the data analysis, it would be great to hear your thoughts on the Grammarly product and what data-related projects/ideas you think we should be pursuing.
  

本人的答案，因为已经跪了，献丑出来供大神批评

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游客，您好！
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不需要大米！！急切需要讨论！！希望数学建模大神批评指点，辛苦昨晚了题目，Grammarly也没有任何feedback，感觉有点小伤心

没有任何feedback吗 ? 最近也收到这间的ping 但是我没看到data scientist 的position lz 是投什么position .