BUSINESS ANALYTICAL REPORT 17
Business Analytical Report
Name:
Institution:
Professor:
Course:
Date:
From: Robert Vans To: Business Analyst
Director of Department of Analytics
Online Gaming Company 2nd July 2016
Dear Business Analyst,
As you know, we have just completed an extensive advertising of our company’s new multi-player online game. The game was first introduced last winter and is targeted to people of all ages, and from all parts of society. To be able to play and participate in the online community users need to pay an annual subscription fee. This is a game which the department expects to be very successful and increase the competitiveness and presence of the company in the online gaming market significantly.
To promote the adoption of the game in the past few months, there has been a concerted advertising campaign throughout the country. Part of the campaign included setting up demonstration centers so that customers can try the game before making a purchasing decision. As the cost of this type of promotion is high, one demonstration center was set up in every city, of which there are 32.
However, I believe that so far the adoption rate (i.e. the percentage of people purchasing an annual subscription) for the new game has been very disappointing. The target for this year had been to reach an adoption rate of at least 25% however; my impression is that many cities may have fallen a long way short of this target, despite the considerable advertising expenditure.
I would like you to carry out some analysis and produce a report concerning adoption rates of this game, containing an analysis of the information regarding this year’s adoption rates. In the attached Excel file (Coursework_data.xlsx) I have entered the number of annual subscriptions obtained from each city. Unfortunately, this is all the information which is disappointing. Nevertheless, I hope that this information will help to inform us how to proceed in the future.
Please can you display this information in a suitable manner so that the overall picture can be easily seen? I have also inserted the total population of each city; so please can you use this also to show the adoption rates in each city? I suspect that the data may show rather different adoption rates for different cities, and I would like to find out the reasons for this. Please therefore can you try to dig a little deeper and present further diagrams, graphs, charts etc. that might help explain this variation? Three theories have been put to me:
1. The different age distributions in different cities may have an effect. Are older people more likely to purchase annual subscriptions? Are parents more likely to buy the game for their children? We really don’t have much of a clue about this.
2. People living in cities where there was a higher rate of adoption last year are more likely to come forward to obtain an annual subscription this year.
3. Because of the time involved in commuting to the demonstration centers, the adoption rate may tend to be lower for cities with high average commuting time.
Please can you test these theories? I have included some information in the Excel file that should help you with this.
Also, as part of an attempt to get to know the areas better and why they have had different adoption rates so far, I intend to spend some time based at some of our demonstration centers. However, I won’t have time to visit more than about ten of them, and so I was wondering how I should choose which centers to visit. I want to make the choice at least partly at random, to avoid bias, and also so that no centre manager feels that he or she is being picked on (or overlooked) intentionally, but I also want to ensure that I see a representative sample of centers, especially with regard to adoption rates. Please can you therefore recommend a sampling method to use for this survey, or perhaps some different alternatives, together with any pros and cons? Please be as precise as you can about the exact way in which I should choose my sample.
I really need something that gives an overall picture at a glance if possible, not only for my own benefit but also because I will be wanting to show this the board of directors of our company. So please give us diagrams and charts rather than just large tables of numbers. However, some numbers are of course important, and so it would be helpful if you could include useful averages and measures of variation alongside these diagrams, charts, graphs etc.
Many thanks,
Robert Vans
Table of Contents
Abstract 5
Introduction 6
Background 6
Purpose 6
Limitation of the study 6
Results 7
Subscription Rate Comparison for Different Cities 7
Adoption Rate For each Age Groups 7
Likelihood of purchasing subscription this year based on last year 11
Sampling 14
Sampling techniques to be employed to visit sites: 14
Advantage of systematic random sampling 14
Disadvantage of systematic random sampling 14
Conclusion 15
Works cited 16
List of Figures
Figure 1: Adaption percentage for subscription 7
Figure 2: percentage of above 40 years purchasing subscription 8
Figure 3: Boxplot for subscription for older people and incase parents to children 9
Figure 4: percentage of older people purchasing subscription (more than 17 years of age) 10
Figure 5: percentage of parents purchasing subscription for children 11
Figure 6: Both parents and older people purchase subscription 12
Figure 7: Subscription last year and the change of subscription 13
Figure 8: Travel time and adaption rate 14
Figure 9: Average travel time and adaption rate 14
Abstract
Multi-player online gaming is a video game mainly or partially done using the internet or intranet network setup where two or more players are involved in competing for scores. In the present times, online games are universal on nearly all platforms, including PCs, consoles and mobile devices due to the generation advancement in engaging on immersive content and the availability of the high speed and capacity networks. The purpose of this know if the advertising employed of setting up demonstration centers in some selected cities if it yields results of a targeted 25% of the general population of the city. Furthermore, determine the effectiveness of demonstration canters if they influence individuals to purchase a subscription to multi-player gaming.
The critical sections to undertaken are to determine to what extent demographics influence acquisition of a subscription, also with the demonstration sites have they changed subscription in the current year compared to the previous year that acts as a base year. Furthermore, how does distance influence subscription of which indicated as it increases the subscription rate and the optimum need to be about an average of 19 units after with the diminishing returns of people in a given city tend to reduce.
The target of 25% subscription rate of the population was not achieved as only 8 cities had reached the target. The older population is likely to subscribe to multi-player online gaming from the data analyzed, but since the targeted percentage was not achieved in all the cities that the experiment was carried out, more is a need to know specifically what factors that can lead to these towns to further increase the subscription.
The recommendation of further data collection is required from the sampled demonstration centres to know what other factors influence subscription to online multi-player games.
Introduction
Background
Online gaming is a video game mainly or partially done using the internet or intranet network setup. In the present times, online games are universal on nearly all platforms, including PCs, consoles and mobile devices due to advances in the generation of engaging, immersive content and the availability of the high speed and capacity networks. The critical sections to undertaken are to determine to what extent demographics influence purchase of a subscription, also with the demonstration sites have they changed subscription in the current year compared to the previous year that acts as a base year. Furthermore, how does distance influence subscription of which indicated as it increases the rate of subscription reduces and the optimum should be about an average of 19 units after with the diminishing returns of people in a given city tend to reduce.
Purpose
The purpose of this report is to carry out a study to know if the advertising employed of setting up demonstration centers in some selected cities if it yields results of a targeted 25% of the general population of the city. Furthermore, determine the effectiveness of demonstration centers if they influence individuals to purchase a subscription to multi-player gaming.
Limitation of the study
The study was only limited to data available by the provided excel sheet. Therefore, all the analysis and inferences are based on the results generates from analysis of the data.
Results
Subscription Rate Comparison for Different Cities
Nearly all the cities indicated an increase in subscription except Rah City that showed a negative subscription rate. Furthermore, not all the cities had the same rate of subscription where each city had a different rate of adoption for each subscription. The minimum adoption rate people has increased by 100% from a figure of about one thousand people to two thousand, while the maximum from Koz City has increased from 13,000 to approximately 67,000 people when all cities are combined. Therefore, the average subscription has increased from 7,000 to about 30,000 people in the same period of consideration. But the targeted 25% from each city was achieved from 8 cities from the possible 32 as the graph below indicates.
Figure 1: Adaption percentage for subscription
Adoption Rate For each Age Groups
The different age distributions in different cities may have an effect. Are older people more likely to purchase annual subscriptions compared to younger individuals? Are parents more likely to buy the game for their children? We really do not have much of a clue about this
The assumption taken for each theory is that the full age group fully adapt to a given theory. For instance, when the older population group (age bracket of more than 40 years) purchase the subscription they are to be used by them. From these case, the theory does not hold since some cities have more than one hundred percent subscription for the older age group when it is taken into account. For example, the city of Baq, Hid, Kar, Ogg, Pal, Pin, Ran, Siq, Wid and Wil that had more than one hundred percentage subscription as shown in figure 2 below.
The average population of people in each age cohot is 63,000, 43,000 and 37,000 for less than 17 years, between 18 – 40 years and above 40 years respectively.
Figure 2: percentage of above 40 years purchasing subscription
When the data is drawn on a box plot, it proves that older population is likely to purchase subscription as shown by figure 3 below. After holding the assumptions, the parents are all on the age bracket of 18 to 40 years, whereas on the real world it is not the case for it. But from the analysis of the data provided, an average and median of 79 and 76 respectively with an adoption average rate of 20 for the general population. But a 36 average percentage for the adoption the population that is above 17 years of age.
Figure 3: Boxplot for subscription for older people and incase parents to children
When adults of over more than seventeen years are compared the theory is proved to be correct but some cities have a high rate that is more than fifty percent subscription for instance, Kar, Ogg, Pid, sig and Wid as figure 4 below indicates. This is in relation to an average percentage of 79% of the total subscription if all of them were dome from the population that is above 40 years of age.
Figure 4: percentage of older people purchasing subscription (more than 17 years of age)
When subscription is compared to parent (age bracke of 18 – 40 years) are assumed to be parents purchase the subscription to their children, the theory does not also indicate since some cities like Kar, Ogg, Pid, siq and Wid are more than one hundred percentage of the subscription. Furthermore, based on the assumption that all the individuals in that bracket cannot be found in an ideal world situation. From the cities with that indicated a more than one hunded percent the population is not comusulate to the subscription for instace Kar city that the population in the age bracket between 18 and 40 years is about 10,000 people while the subscription done is sightly above 23,000.
Figure 5: percentage of parents purchasing subscription for children
When the population is compared for both the parents purchasing subcription for their children and the older people (above 40 years) purchase the subscription then the theory is held as also indicated by figure 6 below. The percentage average of 36 is achieved for the said theory with a minimun, median and maximum percentage 7, 35 and 74 respectively.
Figure 6: Both parents and older people purchase subscription
Likelihood of Purchasing Subscription this Year Based on Last Year
When a comparison of people living in cities where there was a higher rate of adoption last year are more likely to come forward to obtain an annual subscription, this year is compared. This is most liable to be true since not all cities had an active subscription for the current year like Kir and Rah city exhibited a negative subscription increase of -44 and -29 respectively. The negative change of subscription is shown in figure 7 below.
Figure 7: Subscription last year and the change of subscription
As the result of the time involved in commuting to the demonstration centres, the adoption rate may tend to be lower for cities with high average commuting time as shown on the next figure.
Figure 8: Travel time and adaption rate
Figure 9: Average travel time and adaption rate
The figure 8 above shows an average travel time of possible clients to a demonstration site. For the current year, the travel time to demonstration site is most likely true for cities with less than 15 average time, while for the as the distance increase more than 20 average time a mixed result emerge but most likely the subscription rate of the city reduces significantly. It is the same scenario when a correlation coefficient is done for the same as figure 9 shows above. Taking the assumption of all the cities having the same travel models and no hindrance to movement of people and the cost moving from one section to another should be kept constant for the model work. Then a constant of about 19.6 is the ideal distance of a person should take to move to a given demonstration site for them to test the game any maybe it will lead to the individual subscripting to the given game online.
Sampling
Sampling Techniques to be employed to Visit Sites:
The process of selecting units of interest from a population of interest whereby by studying the sample an individual may fairly generalize the results back to the population that the samples were chosen.
It is essential to calculate the sample size in aiding reducing cost of study as well as in proving a hypothesis useful. Since the sampling unit is supposed to be approximately 10, that means at least 10 cities have to be selected from a population of 32 cities. Therefore, the best sampling to be used is systematic random sampling method which members of a unit from the population are selected according to a random starting point and a fixed, periodic interval. The key steps used to achieve the required sample are:
• Number the units in the population from 1 to N
• Decide on the n (sample size) that is needed, in our case; it is 10
• K=N/n= the sample interval size (32/10 = 3.2 rounded to 3)
• Randomly select an integer between 1 to k
• Then take every kth unit
A systematic random sampling is preferred to simple random sampling method it due to it is easy to do. One needs to select a single random number to enable an individual to start selecting the sample units. Furthermore, it is more precise than the simple random sample.
Advantage of Systematic Random Sampling
Systematic random sampling is preferred for its simplicity and its periodic quality it offers. The samples are relatively easy to conduct, execute, compare and understand. This is particularly important for surveys that operate with tight budget constraints hence cost reduction measure.
A degree of control and sense of progress is provided to statisticians and researchers by a systematic method. This is true when the sampling is reasonably constructed to fit specific parameters and more beneficial to studies with strict parameters like the current case.
Cluster selection is eliminated in a systematic sample, a feature where randomly selected sample units are uncommonly close together in a given population.
Disadvantage of Systematic Random Sampling
The greatest assumption employed by a systematic sample is the size of the population is available or reasonably approximated. If one does not have any idea how many items are populations and they are identical, one is not able to select the starting point or interval size.
A need of a natural degree of randomness should be exhibited by the population along the chosen metric which systematic sampling does not. However, if a type of standardized pattern is in the population, the risk of unintentionally selecting very common cases is more evident.
There is a higher likelihood of data manipulation with systematic sampling as researchers might be able to build their systems to increase the probability of accomplishing a targeted result rather than letting the random data produce a typical answer. Thus, any resulting statistics could not be trusted.
Conclusion
Summary of the results
With the technology advancement typically in the generation of engaging, immersive content and the availability of the high speed and capacity networks that have an enormous impact on the online gaming, a clear business model that engages possible customers to know the existence of a given product is crucial. Therefore, setting up a demonstration site is one aspect of ensuring a general population of potential individuals to know the existence of a particular product in the market. However, demonstration sites at specific cities and towns are not the only aspect that one needs to keep in mind for the expansion of subscription. A high likelihood of older people purchasing the subscription as it is brought out by figure 3 above. An average time is 16 for all the cities under consideration on the general.
When average travel time is taken into account for one to subscription, an average of 16 is achieved from the current data presented.
Recommendation
Based on the analysis of the data present, a further data collection is required from the sampled sites to know what other factors influence subscription to online multi-player games.
References
Ross, S. (2015, 04 24). What are the advantages and disadvantages of using systematic sampling? Retrieved 07 21, 2016, from Investopedia: http://www.investopedia.com/ask/answers/042415/what-are-advantages-and-disadvantages-using-systematic-sampling.asp
Yee, N. (2006). The demographics, motivations, and derived experiences of users of massively multi-user online graphical environments. Presence: Teleoperators and virtual environments, 309 – 329.
Zaheer, H., & Griffiths, M. D. (2009). Excessive use of massively multi-player online role-playing games: A pilot study. International Journal of Mental Health and Addiction, 7.4, 564 -570.
(Zaheer & Griffiths, 2009)
Appendix
Sampling: Cities for the study table
N
City
Purchases of Annual Subscription this year (‘000)
% adoption rate this year
1
Kir
1.9
4.5
2
Rah
9.3
6.5
3
Sam
5.2
7.9
4
Bon
4.8
8.1
5
Hey
12.2
9.2
6
Svo
15.1
15.1
7
Pag
20.1
15.3
8
Ege
14.7
15.8
9
Dev
16.2
16.0
10
Fuz
27.0
17.4
11
Chi
15.5
17.6
12
Zot
24.0
18.0
13
Wem
27.3
19.4
14
Cro
30.8
19.6
15
Sty
30.3
19.9
16
Wac
17.7
20.1
17
Pal
40.9
20.3
18
Fid
41.4
20.5
19
Kou
46.5
21.3
20
Baq
38.1
21.6
21
Bul
49.4
22.2
22
Dun
27.4
22.8
23
Lef
32.0
23.0
24
Koz
67.3
24.0
25
Ran
42.3
25.0
26
Wil
55.6
25.0
27
Sig
34.0
25.6
28
Hid
48.2
27.4
29
Wid
50.1
28.0
30
Kar
23.1
30.0
31
Pid
29.3
30.2
32
Ogg
53.0
31.2
Parents Vs older people purchasing subscription
1 2 9.5 23.25 1 2 42.763626251390413 23.969669117647051 1 2 23.807802320038164 14.951383513931887 1 2 29.82210242587599 23.722691161866926 1 2 49.988821943871883 145.10625620655412
Percentage of older people purchasing subscribtion
% of population over 17 years purchasing Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 37.352941176470559 12.972972972972974 37.142857142857153 29.245283018867909 30.196078431372548 23.823529411764689 37.53424657534238 23.333333333333304 36 27.272727272727224 20.333333333333304 56.04651162790698 70 7.3076923076923084 33.695652173913061 48.768115942029084 43.243243243243214 73.611111111111114 22.840909090909086 35.877192982456151 63.695652173913039 12.56756756756757 47.528089887640419 14.444444444444446 55.737704918032783 31.562499999999982 22.53731343283582 32.777777777777779 35.921052631578988 63.417721518987321 45.203252032520368 31.578947368421037 Population over 17 (‘000) Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 102 37 133 53 102 68 73 63 115 99 60 86 33 26 138 138 74 72 88 114 46 74 89 36 61 96 67 54 76 79 123 76
Percentage of purchasing subscribtion
Population (‘000)
Percentage of parents purchasing subscribtion for children
% of parents purchasing the subscrition Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 56.865671641791046 32 60.243902439024389 64.583333333333286 52.203389830508499 47.647058823529413 78.285714285714292 45.9375 94.090 909090909093 42.1875 42.068965517241374 90.943396226415103 231 31.666666666666664 61.184210526315788 101.96969696969703 84.210526315789451 139.47368421052616 37.924528301886802 53.116883116883095 127.39130434782608 23.25 81.34615384615384 52 106.25 48.095238095238102 41.944444444444386 68.07692307692308 65 131.84210526315772 79.428571428571388 63.157894736842053 % of children Vs subscrition Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 51.486486486486427 21.818181818181817 54.888888888888886 44.285714285714285 56.000000000000007 49.090909090909122 58.297872340425585 49 47.586206896551758 48.214285714285715 16.712328767123282 53.555555555555557 52.5 11.875000000000007 58.125000000000036 47.06293706293706 49.230769 230769262 54.081632653061192 46.744186046511629 47.011494252873518 57.450980392156872 13.285714285714286 52.874999999999993 17.333333333333311 47.22222222222225 54.107142857142854 45.757575757575786 52.058823529411754 42 50.1 56.161616161616116 42.105263157894726 Population BTN 18-40 (‘000) Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 67 15 82 24 59 34 35 32 44 64 29 53 10 6 76 66 38 38 53 77 23 40 52 10 32 63 36 26 42 38 70 38
Percentage of purchasing subscribtion
Population (‘000)
Percentage of older people and parents purchasing subscribtion
% of parents and over 40 purchasing the subscrition for children Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 37.352941176470559 12.972972972972974 37.142857142857153 29.245283018867909 30.196078431372548 23.823529411764689 37.53424657534238 23.333333333333304 36 27.272727272727224 20.333333333333304 56.04651162790698 70 7.3076923076923084 33.695652173913061 48.768115942029084 43.243243243243214 73.611111111111114 22.840909090909086 35.877192982456151 63.695652173913039 12.56756756756757 47.528089887640419 14.444444444444446 55.737704918032783 31.562499999999982 22.53731343283582 32.777777777777779 35.921052631578988 63.417721518987321 45.203252032520368 31.578947368421037 % of children Vs subscrition Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 51.486486486486427 21.818181818181817 54.888888888888886 44.285714285714285 56.000000000000007 49.090909090909122 58.297872340425585 49 47.586206896551758 48.214285714285715 16.712328767123282 53.555555555555557 52.5 11.875000000000007 58.125000000000036 47.06293706293706 49.230769230769262 54.081632653061192 46.744186046511629 47.011494252873518 57.450980392156872 13.285714285714286 52.874999999999993 17.333333333333311 47.22222222222225 54.107142857142854 45.757575757575786 52.058823529411754 42 50.1 56.161616161616116 42.105263157894726 Population of parents and older people Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 102 37 133 53 102 68 73 63 115 99 60 86 33 26 138 138 74 72 88 114 46 74 89 36 61 96 67 54 76 79 123 76
Percentage of purchasing subscribtion
Population (‘000)
Subscription last year agaist change of subscription
% adaption rate Last year Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 5.6846590909090908 5.2203389830508504 3.2533632286995551 6.8806818181818175 6.6114649681528661 10.955445544554468 10.175000000000002 4.7849462365591364 1.5247524752475257 0.64516129032258118 5.8157894736842106 5.1136363636363642 9.9480519480519405 8.2023809523809526 1.2729357798165146 4.7846975088967945 7.3237410071942444 7.2852941176470596 3.5992366412213759 1.4925373134328357 6.2422680412371134 9.1180555555555483 3.2958579881656807 2.0833333333333348 7.1578947368421009 2.2302631578947372 3.8649999999999998 7.1022727272727284 5.5425531914893664 6.5502793296089381 5.7477477477477477 8.0338345864661704 % of Population unsubcribed Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 78.35227272727272 91.86440677966101 77.847533632286996 82.38636363636364 80.382165605095537 83.960396039603964 77.166666666666671 84.193548387096769 79.504950495049513 82.58064516129032 90.827067669172934 72.6136363636 3636 70 95.476190476190482 78.669724770642205 76.04982206405694 76.978417266187051 68.82352941176471 84.656488549618317 79.651741293532339 69.793814432989691 93.541666666666671 74.970414201183431 92.121212121212125 74.436090225563916 80.065789473684205 84.9 79.88636363636364 80.638297872340416 72.011173184357546 74.954954954954957 81.954887218045116 % Change of subscribtion Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 280.80959520239884 55.844155844155885 580.90971743625084 155.98678777869546 196.72447013487465 46.407591504744623 124.40622440622442 230.33707865168549 1244.1558441558432 2600 57.724628312863615 435.55555555555554 201.56657963446472 -44.847605224963715 1575.6756756756761 400.55782818891777 214.34184675834987 327.93702058942267 326.29904559915178 1263.3333333333319 383.89760528488858 -29.16984006092915 659.42549371633754 278.1818181818183 257.14285714285734 793.80530973451289 290.68564036222512 183.20000000000002 249.32821497120938 327.29211087420015 335.73667711598716 124.61394478240521
Adaption percentage
Change of adaption percentage
Travel time Vs Adaption rate
Average Commuting time to demonstration centre Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 14 16.3 13.5 12.3 19.100000000000001 17 11.6 14.7 9.4 15.6 23.5 27.9 15.6 17.2 21 16.2 14.2 19.399999999999999 15.5 15.8 13.1 27.1 14.1 20 16.3 15.8 15.2 13.3 14.9 13.2 14.4 15.1 % adaption rate Last year Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 5.6846590909090908 5.2203389830508504 3.2533632286995551 6.8806818181818175 6.6114649681528661 10.955445544554468 10.175000000000002 4.7849462365591364 1.5247524752475257 0.64516129032258118 5.8157894736842106 5.1136363636363642 9.9480519480519405 8.2023809523809526 1.2729357798165146 4.7846975088967945 7.3237410071942444 7.2852941176470596 3.5992366412213759 1.4925373134328357 6.2422680412371134 9.1180555555555483 3.2958579881656807 2.0833333333333348 7.1578947368421009 2.2302631578947372 3.8649999999999998 7.1022727272727284 5.5425531914893664 6.5502793296089381 5.7477477477477477 8.0338345864661704 % adaption rate this year Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 21.647727272727245 8.1355932203389827 22.152466367713007 17.613636363636363 19.617834394904488 16.03960396039604 22.833333333333304 15.806451612903235 20.495049504950476 17.419354838709676 9.1729323308270772 27.386363636363615 30 4.5238095238095237 21.330275229357813 23.950177935943046 23.021582733812952 31.176470588235286 15.34351145038168 20.348258706467661 30.206185567010323 6.4583333333333393 25.029585798816594 7.8787878787878745 25.563909774436087 19.934210526315788 15.1 20.113636363636363 19.361702127659591 27.988826815642444 25.045045045045029 18.04511278195487
Average Travel Time
Adaption percentage
Average travel time Vs. Current adaption rate
21.647727272727245 8.1355932203389827 22.152466367713007 17.613636363636363 19.617834394904488 16.03960396039604 22.833333333333304 15.806451612903235 20.495049504950476 17.419354838709676 9.1729323308270772 27.386363636363615 30 4.5238095238095237 21.330275229357813 23.950177935943046 23.021582733812952 31.176470588235286 15.34351145038168 20.348258706467661 30.206185567010323 6.4583333333333393 25.029585798816594 7.8787878787878745 25.563909774436087 19.934210526315788 15.1 20.113636363636363 19.361702127659591 27.988826815642444 25.045045045045029 18.04511278195487 14 16.3 13.5 12.3 19.100000000000001 17 11.6 14.7 9.4 15.6 23.5 27.9 15.6 17.2 21 16.2 14.2 19.399999999999999 15.5 15.8 13.1 27.1 14.1 20 16.3 15.8 15.2 13.3 14.9 13.2 14.4 15.1 Adaption rate this year
Travel Time
Percentage adaption for online games for each city
% adaption rate this year Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 21.647727272727245 8.1355932203389827 22.152466367713007 17.613636363636363 19.617834394904488 16.03960396039604 22.833333333333304 15.806451612903235 20.495049504950476 17.419354838709676 9.1729323308270772 27.386363636363615 30 4.5238095238095237 21.330275229357813 23.950177935943046 23.0215827338129 52 31.176470588235286 15.34351145038168 20.348258706467661 30.206185567010323 6.4583333333333393 25.029585798816594 7.8787878787878745 25.563909774436087 19.934210526315788 15.1 20.113636363636363 19.361702127659591 27.988826815642444 25.045045045045029 18.04511278195487 % adaption rate Last year Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 5.6846590909090908 5.2203389830508504 3.2533632286995551 6.8806818181818175 6.6114649681528661 10.955445544554468 10.175000000000002 4.7849462365591364 1.5247524752475257 0.64516129032258118 5.8157894736842106 5.1136363636363642 9.9480519480519405 8.2023809523809526 1.2729357798165146 4.7846975088967945 7.3237410071942444 7.2852941176470596 3.5992366412213759 1.4925373134328357 6.2422680412371134 9.1180555555555483 3.2958579881656807 2.0833333333333348 7.1578947368421009 2.2302631578947372 3.8649999999999998 7.1022727272727284 5.5425531914893664 6.5502793296089381 5.7477477477477477 8.0338345864661704
Adaption percentage
Percentage of older people purchasing subscribtion
% of population over 40 purchasing the subscrition Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 108.85714285714285 21.818181818181817 96.862745098039156 53.448275862068961 71.627906976744129 47.647058823529413 72.10526315789464 47.41935483870968 58.309859154929576 77.142857142857068 39.354838709677367 146.06060606060606 100.43478260869566 9.5 75 93.472222222222229 88.888888888888772 155.88235294117646 57.428571428571466 110.54054054054056 127.39130434782608 27.352941176470591 114.32432432432431 20 117.24137931034481 91.818181818181699 48.709677419354826 63.214285714285708 80.294117647058826 122.19512195121952 104.90566037735849 63.157894736842053 Population over 40 (‘000) Baq Bon Bul Chi Cro Dev Dun Ege Fid Fuz Hey Hid Kar Kir Kou Koz Lef Ogg Pag Pal Pid Rah Ran Sam Sig Sty Svo Wac Wem Wid Wil Zot 35 22 51 29 43 34 38 31 71 35 31 33 23 20 62 72 36 34 35 37 23 34 37 26 29 33 31 28 34 41 53 38
Percentage of purchasing subscribtion
Population (‘000)
17
