standings s17
About:
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Parquet Usage
Examples assume you have run the view alias first.- Alias a View
-
CREATE VIEW v_standings_s17 AS ( SELECT * FROM read_parquet( 'https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s17/standings_s17.parquet' ) );
- Select Everything
-
SELECT * FROM v_standings_s17;
CSV Usage
To link a CSV to your Google sheet
=importData("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s17/standings_s17.csv")
JSON Usage
- Javascript
-
const standings_s17 = await fetch("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s17/standings_s17.json").then(r => r.json())
- Python
-
import requests standings_s17 = requests.get("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s17/standings_s17.json").json()
- C#
-
using (var client = new HttpClient()) { var json = await client.GetStringAsync("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s17/standings_s17.json"); var standings_s17 = 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/s17/standings_s17.json") response = Net::HTTP.get_response(uri) standings_s17 = JSON.parse(response.body)
- R
-
library(jsonlite) standings_s17 <- fromJSON("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s17/standings_s17.json")
- curl
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curl https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/s17/standings_s17.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 |
---|---|---|---|---|---|---|---|---|---|
2025-02-07 05:13:37.093907+00:00 | 1 | Puffins | Arctic | BLUE | 26 | 24 | Academy League | Doubles | Season 17 |
2025-02-07 05:13:37.093907+00:00 | 2 | Sabres | Arctic | BLUE | 25 | 25 | Academy League | Doubles | Season 17 |
2025-02-07 05:13:37.093907+00:00 | 3 | Foxes | Arctic | BLUE | 22 | 28 | Academy League | Doubles | Season 17 |
2025-02-07 05:13:37.093907+00:00 | 4 | Tyrants | Arctic | BLUE | 20 | 30 | Academy League | Doubles | Season 17 |
2025-02-07 05:13:37.093907+00:00 | 1 | Sabres | Arctic | BLUE | 26 | 24 | Academy League | Standard | Season 17 |
Table Summary:
column_name | column_type | min | max | approx_unique | avg | std | q25 | q50 | q75 | count | null_percentage |
---|---|---|---|---|---|---|---|---|---|---|---|
as_of | TIMESTAMP WITH TIME ZONE | 2025-02-07 05:13:37.093907+00 | 2025-02-07 05:13:37.093907+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) | 11 | 244 | 115 | 53.333333333333336 | 47.24525318205976 | 25 | 32 | 58 | 1920 | 0.0% |
team_losses | DECIMAL(3,0) | 12 | 243 | 118 | 53.333333333333336 | 47.24525318205974 | 24 | 33 | 57 | 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 17 | Season 17 | 1 | None | None | None | None | None | 1920 | 0.0% |