| Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. |
text
number
table
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| Variable labels of dataset (the names of the variables) |
app name,time usage(hour,minute,second),data usage(GB,MB,KB),frequency |
| Outline of data |
There are many apps on every phone.The usage duration and usage data of each application are recorded.For example,Wechat is used for 1 hour and 20 minutes today and spent 200MB mobile data.We record the usage time and usage data of each application.With this data we can know the apps we use the most and least often.Convenient for us to manage mobile phones and subscribe to mobile traffic.These data reflect our habit of using mobile phones.
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| Simulation process |
Enter all data to calculate average data.Output average data for each app.By comparing the average usage time and average usage data for each app,We can know the usage frequency of each app. |
| Expected outcome of the process (obtained knowledge, analysis results, output of tools) |
Sort each app by average data volume from high to low.
Output app ranking.
For example,wechat,qq,weibo... |
| Anticipation for analyses/simulations other than the typical ones provided above |
We also get software that is not used and not used.We can choose to uninstall them to save phone memory. |
Last Update：July,8,2019 Created：July,8,2019
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February,13,2022
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