role usages

About:

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Parquet Usage

Examples assume you have run the view alias first.
Alias a View
CREATE VIEW v_role_usages AS (
    SELECT * FROM read_parquet(
        'https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.parquet'
    )
);
Select Everything
SELECT * FROM v_role_usages;

CSV Usage

To link a CSV to your Google sheet

=importData("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.csv")

JSON Usage

Javascript
const role_usages = await fetch("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.json").then(r => r.json())
Python
import requests
role_usages = requests.get("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.json").json()
C#
using (var client = new HttpClient())
{
    var json = await client.GetStringAsync("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.json");
    var role_usages = JObject.Parse(json);
}
Ruby
require 'net/http'
require 'json'
uri = URI.parse("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.json")
response = Net::HTTP.get_response(uri)
role_usages = JSON.parse(response.body)
R
library(jsonlite)
role_usages <- fromJSON("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.json")
curl
curl https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/role_usages.json | jq

At a glance:

Table Schema:

column_name column_type null key default extra
as_of TIMESTAMP WITH TIME ZONE YES None None None
doubles_uses BIGINT YES None None None
standard_uses BIGINT YES None None None
total_uses BIGINT YES None None None
season_number BIGINT YES None None None
team_name VARCHAR YES None None None
league VARCHAR YES None None None
role VARCHAR YES None None None

Sample Data:

as_of doubles_uses standard_uses total_uses season_number team_name league role
2025-04-14 22:03:21.730938+00:00 2 6 8 18 Aviators ACADEMY PLAYERA
2025-04-14 22:03:21.730938+00:00 1 7 8 18 Aviators ACADEMY PLAYERB
2025-04-14 22:03:21.730938+00:00 2 5 7 18 Aviators ACADEMY PLAYERC
2025-04-14 22:03:21.730938+00:00 2 1 3 18 Aviators ACADEMY PLAYERD
2025-04-14 22:03:21.730938+00:00 6 1 7 18 Aviators ACADEMY PLAYERE

Table Summary:

column_name column_type min max approx_unique avg std q25 q50 q75 count null_percentage
as_of TIMESTAMP WITH TIME ZONE 2025-04-14 22:03:21.730938+00 2025-04-14 22:03:21.730938+00 1 None None None None None 6200 0.0%
doubles_uses BIGINT 0 14 14 2.951935483870968 2.264266728774304 1 3 4 6200 0.0%
standard_uses BIGINT 0 14 15 4.383870967741935 2.552952265137626 2 4 6 6200 0.0%
total_uses BIGINT 1 24 23 7.335806451612903 3.988992172545356 4 7 10 6200 0.0%
season_number BIGINT -17 18 8 13.522741935483872 6.936077986373372 13 15 17 6200 0.0%
team_name VARCHAR Aviators Wolves 34 None None None None None 6200 0.0%
league VARCHAR ACADEMY PREMIER 5 None None None None None 6200 0.0%
role VARCHAR NONE PLAYERH 9 None None None None None 6200 0.0%

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