Answer To: CRICOS Provider No. 00103D Page 1 of 5 ITECH1100 Understanding the Digital Revolution Assignment 1 -...
Abr Writing answered on Apr 30 2020
operating_costs.xlsx
Cost
Hourly Pay Working hours per day Annual Working Days Yearly Pay
Angus $ - 0 3.5 156 $ - 0
Boris $ - 0 3.5 156 $ - 0
Connor $ 22.00 5 240 $ 26,400.00
Replacement $ 33.00 5 20 $ 3,300.00
Yearly Pay
Rent and Insurance $ 2,900.00
Monthly Pay
Utilities $ 140.00
Annual Operation Costs $ 34,280.00
Report.docx
Task 1 - Costs of operating the business
Hourly Pay
Working hours per day
Annual Working Days
Yearly Pay
Angus
$ -
3.5
156
$ -
Boris
$ -
3.5
156
$ -
Connor
$ 22.00
5
240
$ 26,400.00
Replacement
$ 33.00
5
20
$ 3,300.00
Yearly Pay
Rent and Insurance
$ 2,900.00
Monthly Pay
Utilities
$ 140.00
Annual Operation Costs
$ 34,280.00
Angus and Boris are the semi-retired co-owners of the bookshop, and do not take a salary. Connor, however, is a part-time employee, with total employment costs of $22 per hour. Connor is also entitled to four weeks of paid annual leave, during which a casual replacement is required at a cost of $33 per hour. Therefore, Connor works for (52-4) weeks and 5 days a week. Angus and Boris works for 3 days each in a week for all around the year. The replacement of Connor works for 4 weeks and 5 days a week for $ 33. Therefore, total annual operational costs include hourly pay for the employees, rent and insurance once an year and utilities’ cost, 12 times an year or on monthly basis.
Task 2 - Sales team offers
From the graph and pie cart above, we can see that the price offered clearly depends on the condition of the book but not on the time. There is a strong variation in books’ price (offered) over time period. Ass expected the book price was highest for books in good condition than books in poor or terrible condition. The Hard cover book are more expensive if the books are in good condition but that’s not the case with poor or terrible condition books where paperback were offered more price.
Task 3 – Automation
Price
Reject
0
Low
2
Medium
8
High
12
Quality
Good
G
Poor
P
Terrible
T
Publication Date
Older than 15 years
O
15 years or newer
N
Hardcover?
Hardcover
Y
Paperback
N
Using if and condition in excel the price were decided for different books based on wat was decided by the employees. The low price was set to $2, medium to $8 and high price to $8. On testing the system, we found:
S.No.
Quality
Publication Date
Hardcover?
Price
1
T
0
2
P
O
2
3
G
O
2
4
G
N
Y
12
5
G
N
N
8
Task 4 - Price setting
Scenario one: Total offer prices are approximately the same as for the historical data
Price
Offer ($)
Mean
2.433333333
2.526875
Standard Error
0.151853926
0.124407491
Median
2
1.5
Mode
2
0.2
Standard Deviation
3.326952836
2.725631571
Sample Variance
11.06861517
7.429067458
Kurtosis
2.800257162
0.367422704
Skewness
1.959089674
1.133514344
Range
12
12.5
Minimum
0
0
Maximum
12
12.5
Sum
1168
1212.9
Count
480
480
Scenario two: Assuming all books purchased are sold, allow all staff to draw the same wage as Connor.
Hourly Pay
Working hours per day
Annual Working Days
Yearly Pay
Angus
$ 22.00
3.5
156
$ 12,012.00
Boris
$ 22.00
3.5
156
$ 12,012.00
Connor
$ 22.00
5
240
$ 26,400.00
Replacement
$ 33.00
5
20
$ 3,300.00
Yearly Pay
Rent and Insurance
$ 2,900.00
Monthly Pay
Utilities
$ 140.00
Annual Operation Costs
$ 58,304.00
Optional task 5: Bonus challenge task
Task 1: Cost.py
import numpy as np
hourlyPay = np.array([0, 0, 22, 33])
workingHours = np.array([3.5, 3.5, 5, 5])
annualWorkingDays = np.array([156, 156, 240, 20])
rentInsurance = 2900
utilities = 140
total = rentInsurance + utilities*12 + np.sum(np.multiply(np.multiply(hourlyPay, workingHours), annualWorkingDays))
print('Annual Operational Cost: $' + str(total))
Task 3: automation.py
while True:
quality = input('Enter Quality (T)errible/(P)oor/(G)ood: ')
if quality.lower() == "t":
break
elif quality.lower() == "p":
break
elif quality.lower() == "g":
break
else:
print('Please enter a valid input')
while True:
print('Old = Older than 15 years, New = 15 years or newer')
date = input('Enter Publication Date (O)ld/(N)ew: ')
if date.lower() == "o":
break
elif date.lower() == "n":
break
else:
print('Please enter a valid input')
while True:
cover = input('Enter Type (H)ardcover/(P)aperback: ')
if cover.lower() == "h":
break
elif cover.lower() == "p":
break
else:
print('Please enter a valid input')
def price(quality, date, cover):
low = 2
medium = 8
high = 12
if quality == "t":
return 0
elif quality == "p":
return low
else:
if date == "o":
return low
else:
if cover == "p":
return medium
else:
return high
print('Price: $' + str(price(quality, date, cover)))
Hardcover Good Poor Terrible 590.70000000000005 92.799999999999969 1 Paperback Good Poor Terrible 358.1 129.70000000000005 40.600000000000037
Offer ($) Vs Date
Offer ($) 42915 42915 42915 42916 42916 42916 42917 42917 42917 42917 42917 42917 42919 42919 42919 42919 42919 42919 42920 42920 42920 42920 42920 42920 42920 42921 42921 42921 42921 42921 42921 42921 42921 42921 42921 42922 42922 42922 42922 42922 42922 42922 42922 42922 42922 42922 42923 42923 42923 42923 42923 42923 42923 42923 42923 42923 42923 42924 42924 42924 42924 42924 42924 42926 42926 42926 42927 42927 42927 42928 42928 42928 42929 42929 42929 42929 42929 42929 42929 42929 42930 42930 42931 42931 42933 42933 42933 42933 42934 42934 42934 42934 42934 42934 42934 42935 42935 42935 42935 42936 42936 42936 42936 42936 42936 42936 42936 42936 42936 42937 42937 42938 42938 42940 42940 42940 42940 42941 42941 42941 42941 42941 42942 42942 42942 42942 42942 42942 42942 42942 42942 42943 42943 42943 42943 42943 42943 42943 42943 42943 42944 42944 42944 42944 42944 42945 42945 42945 42947 42947 42947 42947 42947 42947 42947 42947 42947 42947 42947 42947 42948 42948 42948 42948 42948 42948 42948 42948 42948 42948 42948 42949 42949 42949 42949 42949 42949 42949 42949 42949 42949 42949 42950 42950 42950 42950 42950 42950 42950 42950 42951 42951 42951 42951 42951 42951 42951 42951 42951 42951 42951 42951 42951 42951 42952 42952 42952 42954 42954 42954 42954 42954 42954 42954 42955 42955 42955 42955 42955 42956 42956 42956 42956 42956 42957 42957 42957 42957 42957 42957 42957 42957 42958 42958 42958 42958 42958 42958 42959 42959 42959 42961 42961 42961 42961 42961 42961 42961 42961 42961 42961 42962 42962 42962 42962 42962 42962 42962 42962 42962 42962 42962 42962 42962 42962 42963 42963 42963 42964 42964 42964 42964 42964 42964 42964 42964 42965 42965 42965 42965 42965 42965 42965 42966 42966 42966 42966 42966 42966 42966 42966 42966 42968 42968 42968 42968 42968 42968 42968 42968 42968 42969 42969 42969 42969 42969 42969 42969 42969 42969 42969 42970 42970 42970 42970 42970 42970 42970 42970 42970 42970 42971 42972 42972 42972 42973 42973 42973 42975 42975 42975 42975 42975 42975 42975 42975 42975 42975 42976 42976 42976 42976 42977 42977 42977 42977 42978 42978 42978 42978 42978 42978 42978 42978 42979 42979 42979 42979 42980 42980 42980 42982 42982 42982 42982 42982 42982 42982 42983 42983 42983 42983 42983 42983 42983 42984 42984 42984 42984 42984 42984 42985 42985 42985 42985 42985 42985 42985 42985 42986 42986 42986 42986 42987 42987 42987 42987 42987 42987 42987 42987 42987 42989 42989 42990 42990 42990 42990 42990 42990 42990 42990 42990 42990 42991 42991 42991 42991 42991 42991 42991 42992 42992 42992 42992 42992 42992 42992 42992 42992 42992 42993 42993 42993 42993 42993 42993 42993 42993 42993 42993 42993 42994 42994 42994 42994 42994 42996 42996 42996 42996 42996 42996 42997 42997 42997 42997 42998 42998 42998 42998 42998 42998 42998 42998 42999 42999 42999 42999 42999 42999 42999 42999 43000 43000 43000 43000 43000 43000 43001 5.5 5 0.2 7 2 2 2.5 6.5 0.8 0.6 0.2 0.6 2 1.5 3.5 6 4 1 2 1.6 0.2 1 1.5 5 5.5 4.8 6 1 5.5 3 7 5.5 1 1.5 6 8.5 0.2 0.2 1.5 0.2 1.5 6.5 1.5 2 5.5 6.5 0.2 8 0.2 8.5 7.5 0.2 0.2 2.5 2 7 8.5 0.8 0.2 1.4 1.2 11.5 0.2 1 1.5 5.5 0.2 0.2 4.5 1.5 1.5 5.5 3.5 0.2 4.5 5.5 0.2 0.2 5.5 1.5 0.6 6.5 12.5 0.2 0.2 0.2 1.5 0.2 0.5 6 1.2 0.5 0.5 5.5 0.2 0.2 5 6.5 0.2 1.2 10.5 3 0.2 0.2 0.2 5 1.5 0.2 0.2 1.2 4.5 6.5 5.5 4.2 2.4 1 6.5 5 4.5 5 5.5 1 6 6.5 1.5 0.2 0.2 0.2 6 1.5 1.5 1.2 0.4 5.5 0.2 0.2 0.2 2 1.5 0.2 1.2 2 2.5 0.2 2.5 5.5 1.2 0.4 0.5 1.6 0.5 0 3.5 2.2000000000000002 0 4.8 2 1.5 5 0.2 3 1 4.8 1.5 1.2 0.5 7 1.5 5.5 0.2 1.5 3.2 1 7 0.5 0.6 0.5 1 1.5 0.2 5.5 1.5 1 6 0.2 1.5 2 1.5 6.5 0.2 0.2 0.2 0.2 1.6 1.4 0.2 7.5 1.4 0.2 0.2 0.2 0.2 2.5 10 1.2 0.6 11 2.2000000000000002 4 0.5 0.4 4.5 1.5 1.5 0.6 5 5 0.2 4.5 0 5.5 7.5 5 1 0.2 0.2 0.2 0.2 0.2 6 7 0.2 0.2 0.2 1.2 10 0.2 2 0.6 9.5 3 0.5 6 0.5 1.6 2.2000000000000002 1.5 1.5 4.5 0.2 1.5 0.2 5.2 0.5 1.5 0.5 0 2.5 0.2 0.2 1 1.5 6 5 0.2 2 5.5 0.2 2 0.2 0.8 0.2 0.2 2 0.2 2 3 0.4 0.2 0.2 2 2.5 2.5 1.2 0.2 8 0.2 0.2 1.8 0.2 1 9 1.2 4.2 0.2 0.2 0.2 0.2 1.5 5 6 0.5 0.6 1.5 6 7 5.5 0.2 1.5 0.2 5 3 0 2 2 5.5 5.5 6 1.5 0.2 5.5 0.2 0.2 0.5 9 5.5 0.2 0.2 6.2 0.4 4 1 1.5 1.5 1.5 5 0.2 0.2 0.5 1.6 0.5 5 1.5 7.5 1.5 0.2 0.2 0.2 0.4 0.2 1.5 0.2 7 0.2 0.8 0.2 9 2.5 0.2 1 0.2 1.8 2 1 6 0.2 7 1.5 0.5 1 5.5 0.2 0.2 0.2 1.5 7.5 0.2 6.5 0.2 6.5 1.5 1.6 0.8 1.4 7 3 6.5 2 7 12.5 0.2 0.2 0.2 6.5 1.4 0.2 1.4 4.5 8.5 8 0.2 7.5 6 1.5 2.8 0.4 7 0.2 6 2 0.2 0.2 1.5 1 2 0.2 0.2 1.5 0.2 1.5 5.5 0.8 7 0.2 1.5 8.5 0.2 7 0.2 7 5.5 0.2 7.5 7.5 2 0.2 0.5 2.5 0.2 0.5 0.2 7.5 0.2 1.6 1.6 1.2 3 2.6 5 0.2 0.2 0.2 6.5 1 0.5 0.2 6 4.4000000000000004 2 7 0.2 0.2 0.2 0.2 1.5 0.2 2 1.5 6.5 8 7 0.2 1.5 0.2 0.2 0.2 2.5 0.5 9.5 0.2 Date
Offer ($)
Automation Process vs Actual price Offered
Price 2 2 0 2 2 2 8 2 2 2 0 2 8 8 8 12 2 2 2 2 0 2 2 8 8 8 12 2 8 8 12 2 2 2 2 12 0 0 2 0 2 2 2 2 2 2 0 2 0 2 2 0 0 2 2 2 12 2 0 2 2 12 0 2 2 8 0 0 2 2 2 2 2 0 2 8 0 0 2 2 2 2 12 0 0 0 2 0 0 2 2 0 0 2 0 0 2 12 0 2 12 2 0 0 0 2 2 0 0 2 2 2 2 8 2 2 12 2 8 2 8 2 12 12 2 0 0 0 12 2 2 2 2 8 0 0 0 2 2 0 2 2 2 0 2 8 2 0 0 2 0 0 8 8 0 8 2 2 8 0 2 2 8 2 2 0 12 2 2 0 2 2 2 12 0 0 0 2 2 0 2 2 2 2 0 2 2 2 2 0 0 0 0 2 2 0 2 2 0 0 0 0 2 12 2 2 12 2 2 0 0 2 2 2 0 2 2 0 2 0 8 12 2 2 0 0 0 0 0 12 2 0 0 0 2 12 0 2 2 12 8 2 2 0 2 2 2 2 2 0 2 0 8 0 2 2 0 2 0 0 2 2 2 8 0 2 8 0 2 0 2 0 0 2 0 2 2 2 0 0 2 2 2 2 0 2 0 0 2 0 2 2 2 2 0 0 0 0 2 2 12 0 0 2 2 2 8 0 2 0 2 2 0 2 2 2 8 2 2 0 2 2 0 0 2 2 0 0 12 0 2 2 2 2 2 2 0 0 0 2 0 2 2 12 2 0 0 0 2 0 2 0 12 0 2 0 2 2 0 2 0 2 2 2 2 0 12 2 0 2 2 0 0 0 2 12 0 2 0 2 2 2 2 2 2 8 2 2 2 12 0 0 0 2 2 0 2 2 2 12 0 2 12 2 2 0 12 0 2 2 0 0 2 2 8 0 0 2 0 2 2 2 2 0 2 12 0 2 0 2 2 0 2 2 2 0 0 2 0 0 0 2 0 2 2 2 8 2 2 0 0 0 2 0 0 0 12 2 2 12 0 0 0 0 2 0 2 2 2 12 12 0 2 0 0 0 2 0 2 0 Offer ($) 5.5 5 0.2 7 2 2 2.5 6.5 0.8 0.6 0.2 0.6 2 1.5 3.5 6 4 1 2 1.6 0.2 1 1.5 5 5.5 4.8 6 1 5.5 3 7 5.5 1 1.5 6 8.5 0.2 0.2 1.5 0.2 1.5 6.5 1.5 2 5.5 6.5 0.2 8 0.2 8.5 7.5 0.2 0.2 2.5 2 7 8.5 0.8 0.2 1.4 1.2 11.5 0.2 1 1.5 5.5 0.2 0.2 4.5 1.5 1.5 5.5 3.5 0.2 4.5 5.5 0.2 0.2 5.5 1.5 0.6 6.5 12.5 0.2 0.2 0.2 1.5 0.2 0.5 6 1.2 0.5 0.5 5.5 0.2 0.2 5 6.5 0.2 1.2 10.5 3 0.2 0.2 0.2 5 1.5 0.2 0.2 1.2 4.5 6.5 5.5 4.2 2.4 1 6.5 5 4.5 5 5.5 1 6 6.5 1.5 0.2 0.2 0.2 6 1.5 1.5 1.2 0.4 5.5 0.2 0.2 0.2 2 1.5 0.2 1.2 2 2.5 0.2 2.5 5.5 1.2 0.4 0.5 1.6 0.5 0 3.5 2.2000000000000002 0 4.8 2 1.5 5 0.2 3 1 4.8 1.5 1.2 0.5 7 1.5 5.5 0.2 1.5 3.2 1 7 0.5 0.6 0.5 1 1.5 0.2 5.5 1.5 1 6 0.2 1.5 2 1.5 6.5 0.2 0.2 0.2 0.2 1.6 1.4 0.2 7.5 1.4 0.2 0.2 0.2 0.2 2.5 10 1.2 0.6 11 2.2000000000000002 4 0.5 0.4 4.5 1.5 1.5 0.6 5 5 0.2 4.5 0 5.5 7.5 5 1 0.2 0.2 0.2 0.2 0.2 6 7 0.2 0.2 0.2 1.2 10 0.2 2 0.6 9.5 3 0.5 6 0.5 1.6 2.2000000000000002 1.5 1.5 4.5 0.2 1.5 0.2 5.2 0.5 1.5 0.5 0 2.5 0.2 0.2 1 1.5 6 5 0.2 2 5.5 0.2 2 0.2 0.8 0.2 0.2 2 0.2 2 3 0.4 0.2 0.2 2 2.5 2.5 1.2 0.2 8 0.2 0.2 1.8 0.2 1 9 1.2 4.2 0.2 0.2 0.2 0.2 1.5 5 6 0.5 0.6 1.5 6 7 5.5 0.2 1.5 0.2 5 3 0 2 2 5.5 5.5 6 1.5 0.2 5.5 0.2 0.2 0.5 9 5.5 0.2 0.2 6.2 0.4 4 1 1.5 1.5 1.5 5 0.2 0.2 0.5 1.6 0.5 5 1.5 7.5 1.5 0.2 0.2 0.2 0.4 0.2 1.5 0.2 7 0.2 0.8 0.2 9 2.5 0.2 1 0.2 1.8 2 1 6 0.2 7 1.5 0.5 1 5.5 0.2 0.2 0.2 1.5 7.5 0.2 6.5 0.2 6.5 1.5 1.6 0.8 1.4 7 3 6.5 2 7 12.5 0.2 0.2 0.2 6.5 1.4 0.2 1.4 4.5 8.5 8 0.2 7.5 6 1.5 2.8 0.4 7 0.2 6 2 0.2 0.2 1.5 1 2 0.2 0.2 1.5 0.2 1.5 5.5 0.8 7 0.2 1.5 8.5 0.2 7 0.2 7 5.5 0.2 7.5 7.5 2 0.2 0.5 2.5 0.2 0.5 0.2 7.5 0.2 1.6 1.6 1.2 3 2.6 5 0.2 0.2 0.2 6.5 1 0.5 0.2 6 4.4000000000000004 2 7 0.2 0.2 0.2 0.2 1.5 0.2 2 1.5 6.5 8 7 0.2 1.5 0.2 0.2 0.2 2.5 0.5 9.5 0.2
29918.xlsx
Historical Data
Date Time Condition Published Type Offer ($) Date (All)
June 29, 2017 15:26 Good 1985 Paperback 5.5
June 29, 2017 16:58 Good 1982 Paperback 5 Sum of Offer ($) Column Labels
June 29, 2017 17:02 Terrible 2011 Paperback 0.2 Row Labels Hardcover Paperback Grand Total
June 30, 2017 12:34 Good 1953 Hardcover 7 Good 590.7 358.1 948.8
June 30, 2017 13:41 Poor 1993 Hardcover 2 Poor 92.8 129.7 222.5
June 30, 2017 16:04 Poor 1999 Hardcover 2 Terrible 1 40.6 41.6
July 1, 2017 9:08 Good 2011 Paperback 2.5 Grand Total 684.5 528.4 1212.9
July 1, 2017 11:26 Good 1987 Hardcover 6.5
July 1, 2017 11:47 Poor 1982 Paperback 0.8
July 1, 2017 11:54 Poor 1987 Paperback 0.6
July 1, 2017 12:01 Terrible 1989 Paperback 0.2
July 1, 2017 12:27 Poor 1997 Paperback 0.6
July 3, 2017 10:53 Good 2010 Paperback 2
July 3, 2017 11:18 Good 2005 Paperback 1.5
July 3, 2017 12:08 Good 2005 Paperback 3.5
July 3, 2017 16:20 Good 2009 Hardcover 6
July 3, 2017 16:21 Good 1977 Paperback 4
July 3, 2017 17:01 Poor 1975 Paperback 1
July 4, 2017 10:08 Poor 2005 Hardcover 2
July 4, 2017 11:33 Good 1975 Paperback 1.6
July 4, 2017 12:10 Terrible 1977 Paperback 0.2
July 4, 2017 16:11 Poor 1975 Paperback 1
July 4, 2017 16:27 Poor 2005 Paperback 1.5
July 4, 2017 16:53 Good 2012 Paperback 5
July 4, 2017 16:57 Good 2010 Paperback 5.5
July 5, 2017 9:28 Good 2010 Paperback 4.8
July 5, 2017 11:28 Good 2013 Hardcover 6
July 5, 2017 11:51 Poor 1996 Paperback 1
July 5, 2017 12:12 Good 2009 Paperback 5.5
July 5, 2017 12:14 Good 2014 Paperback 3
July 5, 2017 13:54 Good 2010 Hardcover 7
July 5, 2017 15:26 Good 2001 Paperback 5.5
July 5, 2017 15:29 Poor 1997 Paperback 1
July 5, 2017 15:32 Poor 1975 Paperback 1.5
July 5, 2017 16:40 Good 1999 Hardcover 6
July 6, 2017 9:18 Good 2007 Hardcover 8.5
July 6, 2017 9:20 Terrible 1961 Paperback 0.2
July 6, 2017 12:26 Terrible 1993 Paperback 0.2
July 6, 2017 12:37 Poor 2012 Paperback 1.5
July 6, 2017 12:38 Terrible 1975 Paperback 0.2
July 6, 2017 12:53 Poor 2013 Paperback 1.5
July 6, 2017 13:47 Good 1997 Hardcover 6.5
July 6, 2017 15:29 Poor 1993 Paperback 1.5
July 6, 2017 15:30 Poor 2011 Hardcover 2
July 6, 2017 16:39 Good 1961 Paperback 5.5
July 6, 2017 16:55 Good 1989 Hardcover 6.5
July 7, 2017 11:35 Terrible 1968 Paperback 0.2
July 7, 2017 12:34 Good 1997 Hardcover 8
July 7, 2017 12:59 Terrible 2008 Paperback 0.2
July 7, 2017 13:21 Good 1997 Hardcover 8.5
July 7, 2017 14:11 Good 2002 Hardcover 7.5
July 7, 2017 14:49 Terrible 1975 Paperback 0.2
July 7, 2017 15:33 Terrible 1982 Paperback 0.2
July 7, 2017 15:49 Poor 2005 Hardcover 2.5
July 7, 2017 17:11 Poor 1969 Hardcover 2
July 7, 2017 17:17 Good 1987 Hardcover 7
July 7, 2017 17:18 Good 2005 Hardcover 8.5
July 8, 2017 10:01 Poor 2002 Paperback 0.8
July 8, 2017 11:00 Terrible 1989 Paperback 0.2
July 8, 2017 11:06 Poor 1989 Paperback 1.4
July 8, 2017 11:33 Poor 1961 Paperback 1.2
July 8, 2017 11:51 Good 2008 Hardcover 11.5
July 8, 2017 12:26 Terrible 2009 Paperback 0.2
July 10, 2017 14:06 Poor 1968 Paperback 1
July 10, 2017 15:04 Poor 1996 Paperback 1.5
July 10, 2017 15:35 Good 2010 Paperback 5.5
July 11, 2017 15:04 Terrible 2013 Paperback 0.2
July 11, 2017 15:28 Terrible 2001 Paperback 0.2
July 11, 2017 17:20 Good 1996 Paperback 4.5
July 12, 2017 13:50 Poor 2009 Paperback 1.5
July 12, 2017 17:16 Poor 1993 Paperback 1.5
July 12, 2017 17:27 Good 1993 Paperback 5.5
July 13, 2017 10:57 Good 1993 Paperback 3.5
July 13, 2017 11:38 Terrible 1989 Paperback 0.2
July 13, 2017 12:21 Good 1953 Paperback 4.5
July 13, 2017 13:26 Good 2012 Paperback 5.5
July 13, 2017 13:37 Terrible 2013 Paperback 0.2
July 13, 2017 15:00 Terrible 2011 Paperback 0.2
July 13, 2017 15:25 Good 1969 Paperback 5.5
July 13, 2017 16:01 Poor 1993 Paperback 1.5
July 14,...