standings s18
About:
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Parquet Usage
Examples assume you have run the view alias first.- Alias a View
-
CREATE VIEW v_standings_s18 AS ( SELECT * FROM read_parquet( 'https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.parquet' ) );
- Select Everything
-
SELECT * FROM v_standings_s18;
CSV Usage
To link a CSV to your Google sheet
=importData("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.csv")
JSON Usage
- Javascript
-
const standings_s18 = await fetch("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.json").then(r => r.json())
- Python
-
import requests standings_s18 = requests.get("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.json").json()
- C#
-
using (var client = new HttpClient()) { var json = await client.GetStringAsync("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.json"); var standings_s18 = JObject.Parse(json); }
- Ruby
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require 'net/http' require 'json' uri = URI.parse("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.json") response = Net::HTTP.get_response(uri) standings_s18 = JSON.parse(response.body)
- R
-
library(jsonlite) standings_s18 <- fromJSON("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.json")
- curl
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curl https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s18/standings_s18.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 |
ranking | BIGINT | YES | None | None | None |
name | VARCHAR | YES | None | None | None |
division_name | VARCHAR | YES | None | None | None |
conference | VARCHAR | YES | None | None | None |
team_wins | DECIMAL(3,0) | YES | None | None | None |
team_losses | DECIMAL(3,0) | YES | None | None | None |
league | VARCHAR | YES | None | None | None |
mode | VARCHAR | YES | None | None | None |
season | VARCHAR | YES | None | None | None |
Sample Data:
as_of | ranking | name | division_name | conference | team_wins | team_losses | league | mode | season |
---|---|---|---|---|---|---|---|---|---|
2025-04-14 22:03:34.908940+00:00 | 1 | Tyrants | Arctic | BLUE | 28 | 17 | Academy League | Doubles | Season 18 |
2025-04-14 22:03:34.908940+00:00 | 2 | Puffins | Arctic | BLUE | 24 | 21 | Academy League | Doubles | Season 18 |
2025-04-14 22:03:34.908940+00:00 | 3 | Sabres | Arctic | BLUE | 21 | 24 | Academy League | Doubles | Season 18 |
2025-04-14 22:03:34.908940+00:00 | 4 | Foxes | Arctic | BLUE | 10 | 35 | Academy League | Doubles | Season 18 |
2025-04-14 22:03:34.908940+00:00 | 1 | Sabres | Arctic | BLUE | 26 | 19 | Academy League | Standard | Season 18 |
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 22:03:34.90894+00 | 2025-04-14 22:03:34.90894+00 | 1 | None | None | None | None | None | 1920 | 0.0% |
ranking | BIGINT | 1 | 32 | 32 | 6.9 | 7.233066332266144 | 2 | 4 | 10 | 1920 | 0.0% |
name | VARCHAR | Aviators | Wolves | 32 | None | None | None | None | None | 1920 | 0.0% |
division_name | VARCHAR | Arctic | Volcanic | 8 | None | None | None | None | None | 1920 | 50.0% |
conference | VARCHAR | BLUE | ORANGE | 2 | None | None | None | None | None | 1920 | 50.0% |
team_wins | DECIMAL(3,0) | 10 | 210 | 99 | 47.24166666666667 | 41.70133683508951 | 22 | 29 | 51 | 1920 | 0.0% |
team_losses | DECIMAL(3,0) | 11 | 198 | 99 | 47.24166666666667 | 41.69548824267476 | 22 | 29 | 51 | 1920 | 0.0% |
league | VARCHAR | Academy League | Premier League | 5 | None | None | None | None | None | 1920 | 20.0% |
mode | VARCHAR | Doubles | Standard | 2 | None | None | None | None | None | 1920 | 33.33% |
season | VARCHAR | Season 18 | Season 18 | 1 | None | None | None | None | None | 1920 | 0.0% |