Latency

• Timeseries Data
• Histogram Data

Timeseries Data

Timeseries data is a sequence taken at successive equally spaced points in time (every 5 minutes, every day, every year, etc.).

The metric is represtented as a list of data points, where every point is represented by a tuple containing a datetime an a value.

Example (timeseries data)

The daily_active_addresses metric is represented as pairs of date D and a number N with the following meaning: The count of the unique addresses N that participated in at least one transaction, either as sender or receiver, during the day D.

The daily active addresses for bitcoin in the period April 01 - April 04 is represented as the following list:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
[
  {
    "datetime": "2020-04-01T00:00:00Z",
    "value": 808416
  },
  {
    "datetime": "2020-04-02T00:00:00Z",
    "value": 803826
  },
  {
    "datetime": "2020-04-03T00:00:00Z",
    "value": 754343
  },
  {
    "datetime": "2020-04-04T00:00:00Z",
    "value": 655906
  }
]

Histogram Data

A histogram is an approximate representation of the distribution of numerical or categorical data.

The metric is represented as a list of data points, where every point is represented represented by a tuple containing a range an a value.

Example (histogram data)

The price_histogram (or spent_coins_cost) shows at what price were acquired the coins/tokens transacted on a given day D. The metric is represented as a list of price ranges and values with the following meaning: Out of all coins/tokens transacted on day D, value amount of them were acquired when the price was in the range range.

On April 07, the bitcoins that circulated during that day were 124k and the average price for the day was $7307. Out of all of the 124k bitcoins, 13.8k of them were acquired when the price was in the range $8692.08 - $10845.62, so they were last moved when the price was higher. The same logic applies for all of the ranges.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
[
  {
    "range": [77.92, 2231.46],
    "value": 141.62
  },
  {
    "range": [2231.46, 4385],
    "value": 109.3
  },
  {
    "range": [4385, 6538.54],
    "value": 8881.84
  },
  {
    "range": [6538.54, 7307.7],
    "value": 98208.83
  },
  {
    "range": [7307.7, 8692.08],
    "value": 2582.64
  },
  {
    "range": [8692.08, 10845.62],
    "value": 13804.97
  },
  {
    "range": [10845.62, 12999.16],
    "value": 130.33
  },
  {
    "range": [12999.16, 15152.7],
    "value": 10.58
  },
  {
    "range": [15152.7, 17306.24],
    "value": 331.73
  },
  {
    "range": [17306.24, 19459.78],
    "value": 34.45
  },
  {
    "range": [19459.78, 21613.32],
    "value": 0.12
  }
]