WORKING

data analysis/data/scores.csv

@@ -1,3 +1,6 @@
+35,63,62,18,56,65,42,77,82,63,76,50,47,69,57,65,85,70,38,67,89,74,71,67,70,71,95,77,45
+46,24,12,23,66,48,43,35,32,42,78,56,70,53,56,43,16,85,46,76,86,77,71,77,76,70,73
 29,63,35,37,26,51,35,58,30,61,45
 26,62,45,37,42,29,59,44,40
-35,63,62,18,56,65,42,77,82,63,76,50,47,69,57,65,85,70,38,67,89,74,71,67,70,71,95,77,45
+46,45,71,85,54,57,52,66,47,77,68,75,45,51
+26,15,31,54,37,48,19,69,56

data analysis/data/teams.csv

@@ -1,3 +1,6 @@
+16
+2016
 2022
 2451
-16
+3695
+5148

data analysis/test.py

@@ -1,97 +0,0 @@
-import firebase_admin
-from firebase_admin import credentials
-from firebase_admin import firestore
-import csv
-import numpy as np
-
-# Use a service account
-cred = credentials.Certificate('keys/keytemp.json')
-#add your own key as this is public. email me for details
-firebase_admin.initialize_app(cred)
-
-db = firestore.client()
-
-teams=db.collection('data').document('team-2022').collection("Central 2019").get()
-full=[]
-tms=[]
-for team in teams:
-    
-    tms.append(team.id)
-    reports=db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").get()
-
-    for report in reports:
-        data=[]
-        data.append(db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").document(report.id).get().to_dict())
-        full.append(data)
-
-quant_keys = []
-
-list_teams = ["2022", "16", "2451"]
-
-out = []
-var = {}
-
-for i in range(len(full)):
-    for j in range(len(full[i])):
-        for key in list(full[i][j].keys()):
-            
-            if "Quantitative" in key:
-                
-                quant_keys.append(key)
-                
-                if full[i][j].get(key).get('teamDBRef')[5:] in list_teams:
-                    
-                    var = {}
-                    measured_vars = []
-                    
-                    for k in range(len(list(full[i][j].get(key).keys()))):
-
-                        individual_keys = list(full[i][j].get(key).keys())
-                        
-                        var[individual_keys[k]] = full[i][j].get(key).get(individual_keys[k])
-
-                    out.append(var)
-
-sorted_out = []
-
-for i in out:
-
-    j_list = []
-
-    key_list = []
-
-    sorted_keys = sorted(i.keys())
-
-    for j in sorted_keys:
-
-        key_list.append(i[j])
-
-        j_list.append(j)
-
-    sorted_out.append(key_list)
-
-var_index = 0
-team_index = 0
-
-big_out = []
-
-for j in range(len(i)):
-    big_out.append([])
-    for t in range(len(list_teams)):
-        big_out[j].append([])
-
-for i in sorted_out:
-
-    team_index = list_teams.index(sorted_out[sorted_out.index(i)][j_list.index('teamDBRef')][5:])
-
-    for j in range(len(i)):
-
-        big_out[j][team_index].append(i[j])
-
-for i in range(len(big_out)):
-
-    with open('data/' + j_list[i] + '.csv', "w+", newline = '') as file:
-
-        writer = csv.writer(file, delimiter = ',')
-        writer.writerows(big_out[i])
-