Survival Access Log
  • Project Information
    Project Name
    SaaS-Workshop vol.8
    Dataframe Name
    Survival_Access_Log
    Created By
    Ikuya Murasato
    Created Date
    8/16/2020 8:02:09 AM UTC
    Updated Date
    8/16/2020 8:03:07 AM UTC
    Desktop Version
    6.1.1.5
    Schedule
    Scheduling is not supported because:
    • No Data Source to Refresh
  
  
Team Exploratory
Japanese
Saas
Survival Analysis
timestamp
POSIXct
Not NA: 100.00%
NA0 (0.00%)
Min2016-05-18 06:04:54
Max2017-02-21 06:36:02
Median2016-10-20 06:55:03
Average2016-10-20 22:02:34
TimezoneJST
userid
Character
c960271d2a6be76e64a2 (185)
c960271d2a6be76e64a2: 185 (1.10%)
04b97cebb3707be9569e (139)
04b97cebb3707be9569e: 139 (0.83%)
7dd0578f1b837179edc1 (130)
7dd0578f1b837179edc1: 130 (0.77%)
8cade4f8b22b5bc80d85 (129)
8cade4f8b22b5bc80d85: 129 (0.77%)
d0ccb0b99ea2a9293ba9 (120)
d0ccb0b99ea2a9293ba9: 120 (0.71%)
081e5f20173f2fd8bf6b (107)
081e5f20173f2fd8bf6b: 107 (0.64%)
(Other) (15,981)
(Other) : 15,981 (95.18%)
Not NA: 100.00%
NA0 (0.00%)
Unique Values3,390
Min Length5
Max Length20
os
Character
Mac (9,600)
Mac : 9,600 (57.17%)
Windows (7,191)
Windows: 7,191 (42.83%)
Not NA: 100.00%
NA0 (0.00%)
Unique Values2
Min Length3
Max Length7
country
Character
United States (6,273)
United States : 6,273 (37.36%)
Japan (2,952)
Japan : 2,952 (17.58%)
United Kingdom (1,171)
United Kingdom: 1,171 (6.97%)
Spain (739)
Spain : 739 (4.40%)
India (543)
India : 543 (3.23%)
Brazil (460)
Brazil : 460 (2.74%)
(Other) (4,653)
(Other) : 4,653 (27.71%)
Not NA: 100.00%
NA0 (0.00%)
Unique Values91
Min Length4
Max Length27
4 Columns   16,791 Rows
4 Columns   16,791 Rows
Description

SaaS型ビジネスのアクセス・ログのデータ。生存曲線の作成に利用する。

Data Dictionary
Column Name
Description
timestamp
userid
os
country
Other Information
Size
1M bytes
Type
CSV - Local
Details
Parameter
Value
File
Survival_Access_Log.csv
Folder
/Users/im/Dropbox/Demo
Timezone
Asia/Tokyo