從包含嵌套JSON對象的文件導入數據R

我是R編程新手，我試圖解析包含嵌套JSON對象的文件並將其轉換爲R數據框。從包含嵌套JSON對象的文件導入數據R

文件格式如下：

{ 
    "collect": [{ 
     "Record_Id": 32738, 
     "Log_Number": 3, 
     "Service_Event": "Desktop Support", 
     "System_Type": "Custom Application", 
     "SLA": "B", 
     "SLA_Met": "No", 
     "Priority": "Medium", 
     "DateTime_Occured": "2017-01-18 18:57:20", 
     "DateTime_Reported_Diff": 595578, 
     "DateTime_Responded_Diff": 563091, 
     "DateTime_Resolved_Diff": 607595, 
     "Reported_By": "Finance", 
     "Assigned_To": "Custom Application Team C", 
     "Customer_Satisfaction": 5, 
     "Region": "Europe", 
     "Resolution_Effort": "Low", 
     "Escalation_Level": 3, 
     "Related_Problem_ID": 6897, 
     "Report_Source": "Chat", 
     "DateTime_Reported": "2017-01-25 16:23:38", 
     "DateTime_Responded": "2017-02-01 04:48:29", 
     "DateTime_Resolved": "2017-02-08 05:35:04", 
     "Incident_ID": 32738, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.4993265Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:40.2000000Z" 
    }, 

    { 
     "Record_Id": 32803, 
     "Log_Number": 2, 
     "Service_Event": "Password Reset", 
     "System_Type": "Email", 
     "SLA": "B", 
     "SLA_Met": "Yes", 
     "Priority": "Low", 
     "DateTime_Occured": "2016-04-28 08:08:18", 
     "DateTime_Reported_Diff": 382084, 
     "DateTime_Responded_Diff": 394858, 
     "DateTime_Resolved_Diff": 429286, 
     "Reported_By": "Sales", 
     "Assigned_To": "Email Team B", 
     "Customer_Satisfaction": 3, 
     "Region": "Americas", 
     "Resolution_Effort": "Medium", 
     "Escalation_Level": 1, 
     "Related_Problem_ID": 4768, 
     "Report_Source": "Phone", 
     "DateTime_Reported": "2016-05-02 18:16:22", 
     "DateTime_Responded": "2016-05-07 07:57:20", 
     "DateTime_Resolved": "2016-05-12 07:12:06", 
     "Incident_ID": 32803, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:46.0650000Z" 
    }, 

    { 
     "Record_Id": 32804, 
     "Log_Number": 1, 
     "Service_Event": "Password Reset", 
     "System_Type": "Custom Application", 
     "SLA": "B", 
     "SLA_Met": "No", 
     "Priority": "Medium", 
     "DateTime_Occured": "2016-10-11 08:50:33", 
     "DateTime_Reported_Diff": 541423, 
     "DateTime_Responded_Diff": 468816, 
     "DateTime_Resolved_Diff": 573017, 
     "Reported_By": "Sales", 
     "Assigned_To": "Custom Application Team C", 
     "Customer_Satisfaction": 4, 
     "Region": "Americas", 
     "Resolution_Effort": "Low", 
     "Escalation_Level": 1, 
     "Related_Problem_ID": 6916, 
     "Report_Source": "Phone", 
     "DateTime_Reported": "2016-10-17 15:14:16", 
     "DateTime_Responded": "2016-10-23 01:27:52", 
     "DateTime_Resolved": "2016-10-29 16:38:09", 
     "Incident_ID": 32804, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:46.1110000Z" 
    }, { 
     "Record_Id": 32809, 
     "Log_Number": 1, 
     "Service_Event": "Password Reset", 
     "System_Type": "Email", 
     "SLA": "B", 
     "SLA_Met": "No", 
     "Priority": "Low", 
     "DateTime_Occured": "2016-05-23 13:00:28", 
     "DateTime_Reported_Diff": 454176, 
     "DateTime_Responded_Diff": 475141, 
     "DateTime_Resolved_Diff": 453268, 
     "Reported_By": "Sales", 
     "Assigned_To": "Email Team B", 
     "Customer_Satisfaction": 4, 
     "Region": "Americas", 
     "Resolution_Effort": "Low", 
     "Escalation_Level": 1, 
     "Related_Problem_ID": 5081, 
     "Report_Source": "Phone", 
     "DateTime_Reported": "2016-05-28 19:10:04", 
     "DateTime_Responded": "2016-06-03 07:09:05", 
     "DateTime_Resolved": "2016-06-08 13:03:33", 
     "Incident_ID": 32809, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:47.0380000Z" 
    }, { 
     "Record_Id": 32814, 
     "Log_Number": 2, 
     "Service_Event": "Password Reset", 
     "System_Type": "Network", 
     "SLA": "B", 
     "SLA_Met": "Yes", 
     "Priority": "Low", 
     "DateTime_Occured": "2016-01-23 08:12:12", 
     "DateTime_Reported_Diff": 261519, 
     "DateTime_Responded_Diff": 385940, 
     "DateTime_Resolved_Diff": 264070, 
     "Reported_By": "Supply Chain", 
     "Assigned_To": "Network Team B", 
     "Customer_Satisfaction": 3, 
     "Region": "Americas", 
     "Resolution_Effort": "Medium", 
     "Escalation_Level": 2, 
     "Related_Problem_ID": 3334, 
     "Report_Source": "Phone", 
     "DateTime_Reported": "2016-01-26 08:50:51", 
     "DateTime_Responded": "2016-01-30 20:03:11", 
     "DateTime_Resolved": "2016-02-02 21:24:21", 
     "Incident_ID": 32814, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:47.9450000Z" 
    }, { 
     "Record_Id": 32821, 
     "Log_Number": 3, 
     "Service_Event": "Desktop Support", 
     "System_Type": "Server", 
     "SLA": "B", 
     "SLA_Met": "No", 
     "Priority": "Medium", 
     "DateTime_Occured": "2017-01-18 01:11:32", 
     "DateTime_Reported_Diff": 584226, 
     "DateTime_Responded_Diff": 502059, 
     "DateTime_Resolved_Diff": 583814, 
     "Reported_By": "Finance", 
     "Assigned_To": "Server Team D", 
     "Customer_Satisfaction": 5, 
     "Region": "Americas", 
     "Resolution_Effort": "Low", 
     "Escalation_Level": 3, 
     "Related_Problem_ID": 7399, 
     "Report_Source": "Chat", 
     "DateTime_Reported": "2017-01-24 19:28:38", 
     "DateTime_Responded": "2017-01-30 14:56:17", 
     "DateTime_Resolved": "2017-02-06 09:06:31", 
     "Incident_ID": 32821, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:47.9920000Z" 
    }, { 
     "Record_Id": 32822, 
     "Log_Number": 1, 
     "Service_Event": "Password Reset", 
     "System_Type": "Email", 
     "SLA": "B", 
     "SLA_Met": "Yes", 
     "Priority": "Medium", 
     "DateTime_Occured": "2016-10-17 18:14:33", 
     "DateTime_Reported_Diff": 461604, 
     "DateTime_Responded_Diff": 418947, 
     "DateTime_Resolved_Diff": 463982, 
     "Reported_By": "Sales", 
     "Assigned_To": "Email Team C", 
     "Customer_Satisfaction": 4, 
     "Region": "Americas", 
     "Resolution_Effort": "Medium", 
     "Escalation_Level": 1, 
     "Related_Problem_ID": 5178, 
     "Report_Source": "Phone", 
     "DateTime_Reported": "2016-10-23 02:27:57", 
     "DateTime_Responded": "2016-10-27 22:50:24", 
     "DateTime_Resolved": "2016-11-02 07:43:26", 
     "Incident_ID": 32822, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:48.0080000Z" 
    }, { 
     "Record_Id": 32824, 
     "Log_Number": 2, 
     "Service_Event": "Password Reset", 
     "System_Type": "Network", 
     "SLA": "B", 
     "SLA_Met": "Yes", 
     "Priority": "Low", 
     "DateTime_Occured": "2016-04-14 13:05:53", 
     "DateTime_Reported_Diff": 421053, 
     "DateTime_Responded_Diff": 439267, 
     "DateTime_Resolved_Diff": 388328, 
     "Reported_By": "Sales", 
     "Assigned_To": "Network Team B", 
     "Customer_Satisfaction": 3, 
     "Region": "Americas", 
     "Resolution_Effort": "Low", 
     "Escalation_Level": 1, 
     "Related_Problem_ID": 4909, 
     "Report_Source": "Email", 
     "DateTime_Reported": "2016-04-19 10:03:26", 
     "DateTime_Responded": "2016-04-24 12:04:33", 
     "DateTime_Resolved": "2016-04-28 23:56:41", 
     "Incident_ID": 32824, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:48.2890000Z" 
    }, { 
     "Record_Id": 32825, 
     "Log_Number": 1, 
     "Service_Event": "Password Reset", 
     "System_Type": "Custom Application", 
     "SLA": "B", 
     "SLA_Met": "Yes", 
     "Priority": "Medium", 
     "DateTime_Occured": "2016-12-24 17:15:54", 
     "DateTime_Reported_Diff": 569741, 
     "DateTime_Responded_Diff": 464857, 
     "DateTime_Resolved_Diff": 648378, 
     "Reported_By": "HR", 
     "Assigned_To": "Custom Application Team C", 
     "Customer_Satisfaction": 4, 
     "Region": "Europe", 
     "Resolution_Effort": "Low", 
     "Escalation_Level": 1, 
     "Related_Problem_ID": 6803, 
     "Report_Source": "Phone", 
     "DateTime_Reported": "2016-12-31 07:31:35", 
     "DateTime_Responded": "2017-01-05 16:39:12", 
     "DateTime_Resolved": "2017-01-13 04:45:30", 
     "Incident_ID": 32825, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:48.6020000Z" 
    }, { 
     "Record_Id": 32838, 
     "Log_Number": 1, 
     "Service_Event": "Desktop Support", 
     "System_Type": "Email", 
     "SLA": "B", 
     "SLA_Met": "Yes", 
     "Priority": "Medium", 
     "DateTime_Occured": "2016-08-28 14:17:06", 
     "DateTime_Reported_Diff": 431181, 
     "DateTime_Responded_Diff": 534914, 
     "DateTime_Resolved_Diff": 390543, 
     "Reported_By": "HR", 
     "Assigned_To": "Email Team C", 
     "Customer_Satisfaction": 4, 
     "Region": "Americas", 
     "Resolution_Effort": "Low", 
     "Escalation_Level": 1, 
     "Related_Problem_ID": 5063, 
     "Report_Source": "Phone", 
     "DateTime_Reported": "2016-09-02 14:03:27", 
     "DateTime_Responded": "2016-09-08 18:38:41", 
     "DateTime_Resolved": "2016-09-13 07:07:44", 
     "Incident_ID": 32838, 
     "EventProcessedUtcTime": "2017-02-11T09:39:35.5149287Z", 
     "PartitionId": 0, 
     "EventEnqueuedUtcTime": "2017-02-11T09:38:49.7780000Z" 
    }] 
}

試圖通過保存文件爲CSV和TXT文件導入，導入到R和試圖隱蔽到JSON如下

Event <- read.table("C:/Users/dkhan/desktop/InputEvent.csv", sep = ",") 

Event1 <- toJSON(Event) 

jfile <- fromJSON(Event1) 

recorded <- lapply(jfile$collect, function(x) {unlist(x)}) 
#could not run this command, as I got the error as '$' cannot be applied to atomic vectors# 

record <- do.call("rbind", recorded) 

record <- as.data.frame(record)

我無法用下面提到的方法解析帶有JSON對象的文件。

fromJSON(file = json_file)

的agrument爲fromJSON我得到的是fromJSON（TXT，simplifyDataframa =，=變平）

請讓我，我怎麼會用解析JSON對象的文件。
我有文件中有多個這樣的嵌套JSON字符串的文件。我將不得不通過'for'循環來處理它們。我無法做到這一點。一直試圖在此工作2-3天，但沒有成功。

來源

2017-02-18 Dilshad

爲什麼不只是做：

library(jsonlite) 

events <- fromJSON("~/data/input_event.json") 

glimpse(events$collect) 
## Observations: 10 
## Variables: 26 
## $ Record_Id    <int> 32738, 32803, 32804, 32809, 32814, 32821, 32822, 32824, 32825, 32838 
## $ Log_Number    <int> 3, 2, 1, 1, 2, 3, 1, 2, 1, 1 
## $ Service_Event   <chr> "Desktop Support", "Password Reset", "Password Reset", "Password Reset", "P... 
## $ System_Type    <chr> "Custom Application", "Email", "Custom Application", "Email", "Network", "S... 
## $ SLA      <chr> "B", "B", "B", "B", "B", "B", "B", "B", "B", "B" 
## $ SLA_Met     <chr> "No", "Yes", "No", "No", "Yes", "No", "Yes", "Yes", "Yes", "Yes" 
## $ Priority    <chr> "Medium", "Low", "Medium", "Low", "Low", "Medium", "Medium", "Low", "Medium... 
## $ DateTime_Occured  <chr> "2017-01-18 18:57:20", "2016-04-28 08:08:18", "2016-10-11 08:50:33", "2016-... 
## $ DateTime_Reported_Diff <int> 595578, 382084, 541423, 454176, 261519, 584226, 461604, 421053, 569741, 431181 
## $ DateTime_Responded_Diff <int> 563091, 394858, 468816, 475141, 385940, 502059, 418947, 439267, 464857, 534914 
## $ DateTime_Resolved_Diff <int> 607595, 429286, 573017, 453268, 264070, 583814, 463982, 388328, 648378, 390543 
## $ Reported_By    <chr> "Finance", "Sales", "Sales", "Sales", "Supply Chain", "Finance", "Sales", "... 
## $ Assigned_To    <chr> "Custom Application Team C", "Email Team B", "Custom Application Team C", "... 
## $ Customer_Satisfaction <int> 5, 3, 4, 4, 3, 5, 4, 3, 4, 4 
## $ Region     <chr> "Europe", "Americas", "Americas", "Americas", "Americas", "Americas", "Amer... 
## $ Resolution_Effort  <chr> "Low", "Medium", "Low", "Low", "Medium", "Low", "Medium", "Low", "Low", "Low" 
## $ Escalation_Level  <int> 3, 1, 1, 1, 2, 3, 1, 1, 1, 1 
## $ Related_Problem_ID  <int> 6897, 4768, 6916, 5081, 3334, 7399, 5178, 4909, 6803, 5063 
## $ Report_Source   <chr> "Chat", "Phone", "Phone", "Phone", "Phone", "Chat", "Phone", "Email", "Phon... 
## $ DateTime_Reported  <chr> "2017-01-25 16:23:38", "2016-05-02 18:16:22", "2016-10-17 15:14:16", "2016-... 
## $ DateTime_Responded  <chr> "2017-02-01 04:48:29", "2016-05-07 07:57:20", "2016-10-23 01:27:52", "2016-... 
## $ DateTime_Resolved  <chr> "2017-02-08 05:35:04", "2016-05-12 07:12:06", "2016-10-29 16:38:09", "2016-... 
## $ Incident_ID    <int> 32738, 32803, 32804, 32809, 32814, 32821, 32822, 32824, 32825, 32838 
## $ EventProcessedUtcTime <chr> "2017-02-11T09:39:35.4993265Z", "2017-02-11T09:39:35.5149287Z", "2017-02-11... 
## $ PartitionId    <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 
## $ EventEnqueuedUtcTime <chr> "2017-02-11T09:38:40.2000000Z", "2017-02-11T09:38:46.0650000Z", "2017-02-11...

來源

2017-02-18 18:27:35 hrbrmstr

謝謝，這工作。 – Dilshad

從包含嵌套JSON對象的文件導入數據R

回答

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