Splitting and grouping records into daily sets using d3.js and dc.js

安稳与你 提交于 2019-12-11 05:29:53

问题


I am new to d3.js and dc.js and I have spend the best part of a week reading through the tutorials and API. It has a relatively steep learning curve however I am (slowly) becoming familiar with the individual manipulations. That said I still lack the practical experience to construct what I need.

I have a JSON file that contains the following data structure (The record set is relatively large ~2 million objects):

[
    {
        "index": "device_1",
        "state": -1,
        "frequencies": [
            "800PS"
        ],
        "events": [
            {
                "start": "04/07/2014 04:24:19",
                "end": "07/21/2014 08:53:19",
                "name": "event_1234"
            }
        ]
    },
    {
        "index": "device_2",
        "state": 1,
        "frequencies": [
            "2100AWS",
            "1900PCS"
        ],
        "events": [
            {
                "start": "02/20/2014 04:03:20",
                "end": "04/30/2014 07:24:35",
                "name": "event_3456"
            },
            {
                "start": "04/30/2014 07:25:37",
                "end": "07/01/2014 06:35:44",
                "name": "event_766"
            },
            {
                "start": "06/02/2014 00:02:16",
                "end": "06/02/2014 00:04:25",
                "name": "event_8967"
            },
            {
                "start": "06/11/2014 15:38:59",
                "end": "06/11/2014 15:41:15",
                "name": "event_385"
            },
            {
                "start": "06/28/2014 07:37:00",
                "end": "06/28/2014 07:39:34",
                "name": "event_8959"
            },
            {
                "start": "07/01/2014 07:06:06",
                "end": "07/03/2014 03:27:55",
                "name": "event_2654"
            },
            {
                "start": "07/03/2014 04:16:55",
                "end": "07/21/2014 08:53:19",
                "name": "event_94768"
            }
        ]
    },
...
]

What I am trying to achieve is to organise the data so I can create a daily uptime report per device where I gather a cumulative event time per day per device.

Effectively I am trying to convert the original data (above) into a new dataset that looks something like this:

    [
        {"device":"device_1", "date": "01/01/2014", "cumulative": 2530},
        {"device":"device_2", "date": "01/01/2014", "cumulative": 1234},
        {"device":"device_1", "date": "01/02/2014", "cumulative": 456},
        {"device":"device_2", "date": "01/02/2014", "cumulative": 198},
        ...
    ]

* Where *cumulative* is the number of seconds that all cumulative events occurred on that day for that device.

Once I get to that stage I can use something like: d3.nest().key().rollup().entries() to sort and group the data ready for display.

I suspect that d3 has a built in mechanism to handle this situation but my current approach is as follows:

  • Import the data set

    d3.json("data.json", function(error, json_data) {
    if (error)return console.warn(error);
    ...
    }
    
  • Convert the Strings to date objects

    var dateFormat = d3.time.format("%m/%d/%Y %H:%M:%S");
    json_data.forEach(function(d) {
    
            d.dstart = d.events.map(function(x) {
                return dateFormat.parse(x.start);
            });
    
            d.dend = d.events.map(function(x) {
                return dateFormat.parse(x.end);
            });
    
        });
    
  • Specify a start and end date range for the report at daily intervals

  • Determine if an event spanned across more than 1 day, if so break the event into several segments
  • Sum the cumulative duration of the daily device events

(N.B. I do have control over the JSON data format! I could technically create the final dataset directly. However, the current format is very useful for other reports and I am keen to avoid having two data files as they are <20MB each so ideally I need to avoid changing the JSON design.)


回答1:


The data structure that comes to mind is an interval tree. I haven't tried this library but it might help - interval tree.

Otherwise, at least you could skip the last step and just break events by day. Accumulation is what crossfilter is great at - use reduceSum.



来源:https://stackoverflow.com/questions/24906877/splitting-and-grouping-records-into-daily-sets-using-d3-js-and-dc-js

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