-
Notifications
You must be signed in to change notification settings - Fork 0
/
Google_Capstone_Project_Work.sql
451 lines (326 loc) · 7.73 KB
/
Google_Capstone_Project_Work.sql
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
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
/***********************************************
** My First Main SQL Project - Completing the Google Capstone Project on Cyclistic Rides Data
***********************************************/
-- Google Data Analytics Capstone Project SQL Code
-- Data Processed in SQLite
-- Data-Cleaning History below:
-- Creating A Table for Cyclistic Data from Jan to Mar 2021
CREATE TABLE JanToMar AS
SELECT *
FROM January
UNION
SELECT *
FROM February
UNION
SELECT *
FROM March
-- Creating A Table for Cyclistic Data from Apr to Jun 2021
CREATE TABLE AprToJun AS
SELECT *
FROM April
UNION
SELECT *
FROM May
UNION
SELECT *
FROM June
-- Creating a Combined Table for Cyclistic Data from Jan to June 2021
CREATE TABLE JanToJun AS
SELECT *
FROM JanToMar
UNION
SELECT *
FROM AprToJun
-- Calculating the Total Amount of Rides taken by each Type of Rider: Casual and Member During the 6-Month Period
SELECT
member_casual AS Casual_Or_Member,
count(ride_id) AS Amount_of_Rides_Taken
FROM JanToJun
GROUP BY
member_casual
-- Calculating the Total Amount of Rides Taken per Day - 1=Sunday, 7=Saturday
SELECT
count(ride_id) AS Total_Rides_Taken_on_Day
FROM
JanToJun
GROUP BY
day_of_week
-- Ordering Days by Amount of Bikes Ridden
SELECT
CASE
WHEN day_of_week = 1 THEN "Sunday"
WHEN day_of_week = 2 THEN "Monday"
WHEN day_of_week = 3 THEN "Tuesday"
WHEN day_of_week = 4 THEN "Wednesday"
WHEN day_of_week = 5 THEN "Thursday"
WHEN day_of_week = 6 THEN "Friday"
ELSE "Saturday"
END AS Day,
count(ride_id) AS Total_Trips
FROM
JanToJun
GROUP BY
Day
ORDER BY
Total_Trips DESC
-- Categorizing Each Day by Amount of Rides and by Type of Rider
SELECT
CASE
WHEN day_of_week = 1 THEN "Sunday"
WHEN day_of_week = 2 THEN "Monday"
WHEN day_of_week = 3 THEN "Tuesday"
WHEN day_of_week = 4 THEN "Wednesday"
WHEN day_of_week = 5 THEN "Thursday"
WHEN day_of_week = 6 THEN "Friday"
ELSE "Saturday"
END AS Day,
member_casual AS Type_of_Rider,
count(ride_id) AS Total_Trips
FROM JanToJun
GROUP BY
day_of_week,
Type_of_Rider
-- Calculating Average Ride Length by Day
SELECT
CASE
WHEN day_of_week = 1 THEN "Sunday"
WHEN day_of_week = 2 THEN "Monday"
WHEN day_of_week = 3 THEN "Tuesday"
WHEN day_of_week = 4 THEN "Wednesday"
WHEN day_of_week = 5 THEN "Thursday"
WHEN day_of_week = 6 THEN "Friday"
ELSE "Saturday"
END AS Day,
avg(ride_length) AS average_ride_length
FROM
JanToJun
GROUP BY
Day
-- Determining the Day with the highest Average Bike Ride Length
SELECT
CASE
WHEN day_of_week = 1 THEN "Sunday"
WHEN day_of_week = 2 THEN "Monday"
WHEN day_of_week = 3 THEN "Tuesday"
WHEN day_of_week = 4 THEN "Wednesday"
WHEN day_of_week = 5 THEN "Thursday"
WHEN day_of_week = 6 THEN "Friday"
ELSE "Saturday"
END AS Day,
avg(ride_length) AS average_ride_length
FROM
JanToJun
GROUP BY
Day
ORDER BY
average_ride_length DESC
-- Ordering Days of the Week by Total Bike Length Time per Day
SELECT
CASE
WHEN day_of_week = 1 THEN "Sunday"
WHEN day_of_week = 2 THEN "Monday"
WHEN day_of_week = 3 THEN "Tuesday"
WHEN day_of_week = 4 THEN "Wednesday"
WHEN day_of_week = 5 THEN "Thursday"
WHEN day_of_week = 6 THEN "Friday"
ELSE "Saturday"
END AS Day,
count(ride_length) AS Total_Ride_length
FROM
JanToJun
GROUP BY
Day
ORDER BY
Total_Ride_Length DESC
-- Ordering Days of the Week by Number of Trips Taken by Riders
SELECT
CASE
WHEN day_of_week = 1 THEN "Sunday"
WHEN day_of_week = 2 THEN "Monday"
WHEN day_of_week = 3 THEN "Tuesday"
WHEN day_of_week = 4 THEN "Wednesday"
WHEN day_of_week = 5 THEN "Thursday"
WHEN day_of_week = 6 THEN "Friday"
ELSE "Saturday"
END AS Day,
count(ride_id) AS Total_Trips
FROM
JanToJun
GROUP BY
Day
ORDER BY
Total_Trips DESC
-- Determining the most-used Type of Bike for the past 6 Months
SELECT
rideable_type AS Type_of_Bike,
count(ride_id) AS Total_Bike_Usage
FROM JanToJun
GROUP BY
rideable_type
ORDER BY
Total_Bike_Usage DESC
-- Arranging Type of Bike Used by Type of Member
SELECT
rideable_type AS Type_of_Bike,
member_casual AS Type_of_User,
count(ride_id) AS Total_Bike_Usage
FROM
JanToJun
GROUP BY
rideable_type,
member_casual
ORDER BY
Total_Bike_Usage DESC
-- Determining the most Popular Starting Locations for Each Bike Type for Annual Members
SELECT
start_station_name AS starting_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_started
FROM
JanToJun
WHERE
rideable_type = "electric_bike"
AND member_casual = "member"
GROUP BY
start_station_name
ORDER BY
total_rides_started DESC
LIMIT 10
SELECT
start_station_name AS starting_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_started
FROM
JanToJun
WHERE
rideable_type = "classic_bike"
AND member_casual = "member"
GROUP BY
start_station_name
ORDER BY
total_rides_started DESC
LIMIT 3
SELECT
start_station_name AS starting_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_started
FROM
JanToJun
WHERE
rideable_type = "docked_bike"
AND member_casual = "member"
GROUP BY
start_station_name
ORDER BY
total_rides_started DESC
LIMIT 3
-- Determining the most Popular Starting Locations for Each Bike Type for Casual Members
SELECT
start_station_name AS starting_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_started
FROM
JanToJun
WHERE
rideable_type = "electric_bike"
AND member_casual = "casual"
GROUP BY
start_station_name
ORDER BY
total_rides_started DESC
LIMIT 10
SELECT
start_station_name AS starting_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_started
FROM
JanToJun
WHERE
rideable_type = "classic_bike"
AND member_casual = "casual"
GROUP BY
start_station_name
ORDER BY
total_rides_started DESC
LIMIT 3
SELECT
start_station_name AS starting_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_started
FROM
JanToJun
WHERE
rideable_type = "docked_bike"
AND member_casual = "casual"
GROUP BY
start_station_name
ORDER BY
total_rides_started DESC
LIMIT 5
-- Determining the most Popular Ending Locations for Each Bike Type for Annual Members
SELECT
end_station_name AS ending_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_ended
FROM
JanToJun
WHERE
rideable_type = "electric_bike"
AND member_casual = "member"
GROUP BY
end_station_name
ORDER BY
total_rides_ended DESC
LIMIT 5
SELECT
end_station_name AS ending_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_ended
FROM
JanToJun
WHERE
rideable_type = "classic_bike"
AND member_casual = "member"
GROUP BY
end_station_name
ORDER BY
total_rides_ended DESC
LIMIT 5
SELECT
end_station_name AS ending_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_ended
FROM
JanToJun
WHERE
rideable_type = "docked_bike"
AND member_casual = "member"
GROUP BY
end_station_name
ORDER BY
total_rides_ended DESC
LIMIT 5
-- Determining the most Popular Ending Locations for Each Bike Type for Casual Members
SELECT
end_station_name AS ending_location,
rideable_type AS type_of_bike,
member_casual AS type_of_rider,
count(ride_id) AS total_rides_ended
FROM
JanToJun
WHERE
rideable_type = "electric_bike"
AND member_casual = "casual"
GROUP BY
end_station_name
ORDER BY
total_rides_ended DESC