Due Date: Week 11, Friday 5:00 pm CRICOS Provider No. 00103D ITECH 7406 Page 1 ITECH7406- Business Intelligence and Data Warehousing Data Analysis Individual Assignment – 2019 Sem3 Worth – 20% (Week...

Order ID 41182/Order ID 41182.pdf
CRICOS Provider No.
00103D
ITECH 7406
Page 1
ITECH7406- Business Intelligence and Data Warehousing Data
Analysis Individual Assignment – 2019 Sem3
Worth – 20% (Week 11- Sun, June 2, 2019 - 17:00)

Learning Outcomes Assessed: S1,S2,S3,K3, K4, A1,A2

Purpose: To encourage and provide students on-hands experiences of using SAP or Watson
Analytics tools to explore, extract and analyse enterprise data

This is a business analytics project aimed at generating innovative analytics solutions. It will
allow students to show innovation and creativity in applying SAP Business Object/Predictive
Analytics or Watson Analytics in designing useful visualization solutions and predictive models
for different types of analytics problems.

The topic will be on environmental issues. Your main task is to apply any of the analytical
tools to develop innovative analytics visualization solutions and predictive models with regards
to environment, e.g. climate change, energy consumption, carbon footprint, greenhouse gas
emission, pollution dashboard, etc. Besides the suggested datasets/sources, you may apply any
other real-world dataset to illustrate your approach (the different datasets can be combined too).
Please find the attached sample reports

Some possible datasets/sources:


http://data.un.org/Explorer.aspx
http://data.worldbank.org/topic/environment
https://data.oecd.org/
http://geodata.grid.unep.ch/
http://open-data.europa.eu/en/data/publisher/eea
https://www.data.gov/
http://data.un.org/Explorer.aspx
http://data.worldbank.org/topic/environment
https://data.oecd.org/
http://geodata.grid.unep.ch/
http://open-data.europa.eu/en/data/publisher/eea
https://www.data.gov/
CRICOS Provider No.
00103D
ITECH 7406
Page 2
Report Submission

Submit your report as either a word or PDF document via Moodle on Sunday, June 2, 2019
- 17:00 (Week 11). You will submit a 9-10 pages report (about 3000 words not counting
cover page and references) of this project. At least 15 references in your report must be from
peer- reviewed sources. Include any and all sources of information including any person(s)
you interviewed for this project.
Please note that all references must adhere to APA style. See
http://owl.english.purdue.edu/owl/resource/560/01 and http://www.apastyle.org/ for details on
how to format a report and how to cite references. Make sure your follow formal report structure
with cover page, introduction, use of headings, subheadings, conclusion sand reference section.
You are reminded to read the “Plagiarism” section of the course description. Your essay should
be a synthesis of ideas from a variety of sources expressed in your own words.

All reports must use the APA referencing style.
University Referencing/Citation Style Guide:
The University has published a style guide to help students correctly reference and cite information
they use in assignments (American Psychological Association (APA) citation style,
http://www.ballarat.edu.au/aasp/student/learning_support/generalguide/print/ch06s04.shtml
or Australian citation style


Reports are to be presented in hard copy in size 12 Arial Font and double spaced. Your report
should include a list of references used in the essay and a bibliography of the wider reading you
have done to familiarize yourself on the topic.

A passing grade will be awarded to assignments adequately addressing all assessment criteria.
Higher grades require better quality and more effort. For example, a minimum is set on the wider
reading required. A student reading vastly more than this minimum will be better prepared to
discuss the issues in depth and consequently their report is likely to be of a higher quality. So
before submitting, please read through the assessment criteria very carefully.
http://owl.english.purdue.edu/owl/resource/560/01
http://www.apastyle.org/
http://www.ballarat.edu.au/aasp/student/learning_support/generalguide/print/ch06s04.shtml
CRICOS Provider No.
00103D
ITECH 7406
Page 3


ITECH7406- Business Intelligence and Data Warehousing
Data Analysis Individual Assignment – 2018 Sem3
Tasks Max
Marks
Marks
Awarded
Comments
What are the BI reporting solution/dashboards you will
need to develop for the Senior Executives of chosen data
Set– You must have at least two types of analytics i.e
Predictive/prescriptive/ descriptive
10
Design Mobile application using QSR code for your
insights /solutions/dashboard – Please provide your QSR
code in your assignment
10
Justify why these BI reporting solution/dashboards are
chosen and why those attributes are present and laid out in
the fashion you proposed (feel free to include all other
relevant justifications using the academic articles).
Note: To ensure that you discuss this task properly, you
must include visual samples of the reports you produce
(i.e. the screenshots of the BI report/dashboard must be
presented and explained in the written report; use
‘Snipping tool’), and also include any assumptions that
you may have made about the analysis in yourassignment
report (i.e. the report to the senior executive team of the
company).
10
Furthermore, the CEO would like to improve the
operations. Based on your BI analysis and the insights
gained from “Data Set”, make some logical
recommendations to the CEO, and justify why/how your
proposal could enhance company operations, sales etc.
Include the relevant screenshots of the BI analysis, and
also any assumptions that you may have made about the
analysis.
10
Report is well-written and presented professionally,
containing:
• Title page
• Executive Summary (outlining the scope of report, key
findings and recommendations)
• Table of Contents
• Appropriate use of headings within report
• Appropriate use of figures (i.e. graphs, summary tables)
and
• References (APA Style)- in text and bibliography
(10 articles)


1
2
1
1
1
4
Total Marks 50
Total Marks out of 20 20%
Order ID 41182/qr-code (1).png
Order ID 41182/REPORT.docx
ITECH7406- Business Intelligence
And
Data Warehousing
Data Analysis Report
Individual Assignment
2019
SUBMITTED TO:
REPORT PREPARED
BY
INDEX
INDEX…………………...…………………………………………………………………..........2
EXECUTIVE SUMMARY…………………………………..…………………………….........3
INTRODUCTION…………………………………………...………………………………..…4
PARTS OF ANALYTICS…………..……………….………………………………….….4
QSR CODE……………………………………………………………………………………….5
EXECUTIVE INSIGHT
BI REPORTING SOLUTION / DASHBOARDS/ REPORTS..........................................6
PERFORM DASHBOARDS
· REPORTs………………………………………………………………8
CEO RECOMMENDATION…………………………………………………………………14
REFERENCES…………………………………………………………………………..…….15
EXECUTIVE SUMMARY
We discern that when you settle on an agreement to get Data Visualization Software it’s unusual not entirely to get how experts evaluate it in their judgments, yet furthermore to show whether the veritable people and tribes that follow it are totally content with the information. That is the reason we’ve organized our direct based Customer Satisfaction Algorithm that collects customer checks, Natural Language Search :IBM Watson Analytics uses trademark language taking love of to empower you to have communications with your pictures. This assumes you can run your own accounts when watching the industry for faces that you can truly get it. In a rush Discovery : IBM Watson Analytics isn’t necessitated to your significant work zone or advanced mobile phones. The course of movement permits you to be progressively versatile yet as profitable in a flow as it is accessible from your iPad. In that inhibit, you can spot critical science in your data wherever you are or ought to be. Precedent Detection : Finding structures in your market actions is trained with IBM Watson Analytics. The application allows you to discover the sectors that impact your business—what drives it associating with and what you can give to start it indeed better so to clients. Likewise, the game plan offers to you the algebra behind the discovery for you to figure out about the further notable details of the pictures. The pointer showed here suggests sewage treatment affiliation rates, for proof the extent of the communal people applied with a wastewater treatment plant. Sewerage affiliation rates are seemed correlative material. “Revealed” connotes truly united with a wastewater treatment plant through a public sewage orchestrate. It givesn’t determine about free private organizations (for instance septic tanks), helped where public operations are not money applied. The statistics demonstrate positive and fast affiliation rates and the status of discretionary just as tertiary sewage treatment to show a sign of tasks to decrease pollution loads. • Primary treatment: physical just as compound system including resolution of suspended debris, or diverse means in which the BOD5 of the going toward wastewater is lightened by in any time 20% before parole and the entire suspended solids are shrunk by at any time fraction. • Secondary analysis: treat all facts considered incorporating natural approach with a discretionary settlement or original method, with a BOD clearing of at any rate 70% and a COD removal of at any rate 75%. • Tertiary treatment: conduct of nitrogen or possibly phosphorous just as some new poison affecting the trait or a precise control of spray (microbiological sullying, dimmer, etc.). This stone should be looked over in witnesses to instruction on open wastewater treatment discharge. It should be applied to a proper national affiliation rate, feeling that the exact affiliation rate isn’t usually 100%: it may fluctuate among societies and depends upon land factors and on the spatial allocation of traditional status. Wastewater treatment plants produce wastes that consist of numerous potential poisons. Recuperated wastewater is generally ideal sufficient to be used for water framework, anyway standard speaking contains higher (~1.5 times) groupings of separated solids than the source water.  Moreover, disinfectant-disinfected reused water can have vital pursue proportions of purification proceeds, for detail, trihalomethanes and haloacetic acids. The solid packs of wastewater treatment plants, called biosolids,typically contain customary excrements, for particular and may similarly contain overpowering metals and produced normal blends found in household concerns. Since biosolids conventionally contain macronutrients, micronutrients, and quality issue, they are commonly linked with cultivating landscapes as compost and soilamendments. The discharge of biosolids to area is cramped by the assemblies of possible harmful amounts, for item, overpowering metals that move beginning with one treatment plant then onto the tracking. Even more positively, most outrageous toxin stacking rates are set by government (40 CFR, Part 503, revealed by U.S. EPA under the Fresh Water Act, Section 405), and express controls. These procedures set annual and life application costs for toxins, for occasion, good metals; some of which are in loving manner plant and animal micronutrients. Imprisonments furthermore exist on most extraordinary passable groupings of true common infections in biosolids, for precedent, fungicides, and solvents. Less express guidelines exist normally at the articulate match for the utilization of biosolids as a NPK fertilizer source. In Arizona for precedent, as frequent as 8 lots of dry biosolids may be associated yearly to agricultural fields to fulfill the N demands of revenues. Thusly the area usage of biosolids completes the ordinary courses of C, N, and P in the earth. Reiterated usages of biosolids as repeatedly as possible enhances the unifications of ingots, P, and a couple of spices in the dust condition. Likewise, offensive, settled, or uneven employments of biosolids can end in arising and groundwater sullying.
INTRODUCTION
IBM Watson Analytics is a sensible, people-system data research and understanding function for discovering precedents and portions of seeing in your pictures. It instructs you through the design of discovery and brutalizes the penetrating observation and present emotional rules that becomes a brief span again. In light of the test language dealing with bar of IBM Watson Analytics, you can go jointly with your remarks just as you are feeling a speech with it. Everything thought of you since, can expect answers from sorted out and unstructured information productively. Additionally, IBM Watson Analytics lets you instantly find original and multiplying examples in your comments. The society even establishes it in a visual system through your dashboards so you can identify structures speedier. Water element (bodily, effect, microbial, simple) is impressed by water picture, by pollution loads from individual projects (tending, activity, biological households) and by display and place. In the opportunity that load from individual activities ends up being singular to the degree that water variety is hindered to the time that it requires dependably advanced and valuable approach, or that aquatic plant and animal species in currents and pools are really declined, by again the reasonability of water resource value is being alluded to. Wastewater treatment plants may use tertiary treatment efforts for developing the plan of discharges from normal treatment products. Strategies utilized fuse sand filtration and sanitation. Effects of tertiary treatment on parasite removal are fickle. Where tertiary employment has been utilized, a broad piece of parasite clearing takes place in the preceding constitutional and discretionary treatment outlines. Present day wastewater treatment plants are generated out of diverse stages using automatic (bodily), flavored, and compound actions to remove contaminants from sewage and current discharges . In various exceedingly coordinated states, mechanical wastewaters are pretreated at the producing plant to reduce harms which can enough of the season not be separated by standard sewage analysis . In considering of the advancement of the sewage scheme in civic structures and resolutions the metropolitan flood may be eviscerated by flood which may have dust mites, overpowering metals, normal complements, pet wastes similarly as coat and coat and in developing centers—nanoparticles ,when the stalk continues running over exposed surfaces During exorbitant deluge overwhelming the extra water may be positively taught to traditional deposits or ducts to justify the legitimate and organized treatment systems from upstairs-store. Advancement of spray treatment plants may oscillate in considering of block, affirm, or state decrees, also generally sewage treatment comprises three mounts. Before the wastewater enters the medicine plant, huge objects, for occasion, wood parts, synthetic and hardware columns are excluded by rake bars. The basic speed of a three-comb out wastewater treatment plant incorporates an automatic cleaning in a narrow bowl to raise coarse and thin fragments which may acquire at the arising (coat, coat, and lighter bars) or enlargement to the base (slag and dirt) . The ensuing slop may be granted or accepted for e.g., the maturing of concrete. The helper therapy removes interrupted and left component information, for particular, body debris, sustenance debris, explosives, and washing officers by helping marine microorganisms which break the simple effects. The parasites and protozoa are normally lost by packet before the soak is flowed to the tertiary employment. This last increase consistently incorporates compound or physical cleanliness or microfiltration using e.g., earth filtration . The ensuing flood return can be adopted for moistening framework or flowed into tides, conduits, pools, or glade. If enough modest it may in loving way be helped to quicken groundwater storehouses. Some wastewater treatment farms may spend supplementary develops, for occurrence, nitrogen or phosphorous departure similarly as normal enhancement removal. Filtration is every now and then moved by UV emission, wind, bleach, or sodium hypochlorite to definite structures, defects, and diverse parasites.
PARTS OF ANALYTICS
         The fundamental sympathetic of case search is suggestive examination. It is at the bedrock of all cases following. It is the silliest and most humble usage of inputs in industry now. Realistic research explains the “what developed” by strengthening recent data generally as dashboards.
         Demonstrative research reaches the view established from reasonable study and worries down to get the purpose behind that result. Affiliations practice this comb of study as it represents better communication among pictures and knows details of managing.
 
         Farsighted inquiry seeks to call the offer “what is most feasible leaving to meet”. This culling of investigation utilizes later circumstances to represent suppositions concerning subsequent reactions.
         The finished sifting of good check is the oftenest explored for after, anyhow couple of connections are exactly resolved to produce it. Prescriptive investigation is the wild of data questionnaire, reaching the instruction from each and every history study to judge the procedure to hold in a suggested release or choice.
QSR CODE
A QR code peruser can be loaded onto a chamber contact by everybody, and they are mostly for nobody out of pilfering. This involves any buyer can roam into your problem with his or her chamber call up, and span a QR custom which you have formed.
EXECUTIVE INSIGHT
BI REPORTING SOLUTION/DASHBOARDS
Imagining the chauffeurs of your insurance interest puts you great control over future execution. We’ll permit you to represent the choicest and key estimations you should continue. You’ll by then uncover fragments of hearing that entitle you to settle on your next best compromise. You’ve discovered it soon: what you appearn’t act, you can’t conduct. When we do believe of what your most noteworthy KPIs are, we’ll start checking them. Also, with your exceptionally created authority dashboard, you’ll have a judge of your KPIs for quick read and tastes of message. Examination empower you to perceive where your display gaps are, and resolve them for your partnership’s chosen position. You’ll have the clue to realize how your indicators are persuading your shop and establish business theory that you can hook up on. Your on the net, instinctive cloud-based dashboard demonstrates your most appropriate KPIs. Invigorated in for all resolves and purposes continuous, you’ll have the opportunity to follow specifically what’s falling in your insurance firm at any date. This permits you to form a motion when indispensable to remediate issues and influence from conditions. A business learning dashboard (BI dashboard) is a summary portrayal mechanical assembly that grandstands on an individual screen the dignity of field examination estimations, key execution markers (KPIs) and unusual data centers for a connection, center, party or plan. Crucial components of shrink and flow BI dashboard programming join a soft link, hunched and the competence to pull nonstop data from discrete experts; these items give an essential improvement over progressively formed, static dashboards. BI dashboards are similarly now an essential theme of most driving steam-based examination does. The accurately established character-party examination model - about constantly run on from the mist as SaaS - might be, in huge part, in prospect on BI dashboards that permit end clients to quickly envision data they have cut. BI dashboards are reasonably known as fundamental apparatus for endeavors to collect minute and yearning-term parts of training from their creating storerooms of endless data and to catch better taught essential government and data test. They involve attempts to generate number-true data viably coherent and useable for nontechnical pioneers. Current and wonderful dashboard design allows different portrayal possible appears to fundamental actions. Drawbacks of BI dashboards don’t commonly emerge from the network of the element, finally well from how the dashboards are handled, the charge and the irk of displaying them. While most BI dashboards are properly self-business, undertakes all events considered ought to run IT consultants to perform the expansion. Various challenges fuse too much gaudy or disordered system, soliciting to concentrate an immense compromise of science without convincing unrefined data enough and inconvenience funnels surface estimations for key journals. A fair dashboard arrangement presents business portions of training brought from goods with the term goal that is operating. The dashboard parts give assorted when all is expressed in given points of watch on the data and empower customers to exhaust down to see progressively granular data, as well. With everything taken into account, dashboard best practices: incorporate end customers in BI dashboard design refine plan in the midst of progress using iterative approach, unequivocally recognize data to be pursued, contemplate customization by different regions of the undertaking, keep BI dashboard data present and fuse critical information.
PERFORM DASHBOARD/REPORTS
REPORT s
The Environment Statistics Database contains picked water and waste estimations by people. Bits of judgment on spray and waste rely upon power estimations made by domestic real production surroundings and moreover administrations of brainwashing (or corresponding associations) in regions on charge of the biennial UNSD/UNEP Questionnaire on Environment Statistics. They were increased by inscriptions on EU and OECD part and identify countries from Eurostat and OECD. With the moving with two outstanding causes, every land’s circumstances are garnered from UNSD.
 
1.         All phenomena are caused from Eurostat for the moving with 32 states: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, and the United Kingdom of Great Britain and Northern Ireland.
 
2.         All statistics are garnered from OECD for the flying with nine regions: Australia, Canada, Chile, Israel, Japan, Mexico, New Zealand, Republic of Korea, and the United States of America.
 
Choice of recommended data source among Eurostat and OECD is made endeavoring to have ever much data show as could supposedly be healthy for the customer and to run anyway much actions as could be healthy for all UN part presents. Potential Notes: Wastewater suggests water which is of no further an instigator to the information behind which it was operated because of its kind, worth or generation of thing. Regardless, wastewater from one practice can be a probable contribute to a rule away. Wastewater gathering structure indicates a course of operation of funnels which gather and direct wastewater. Social event structures are typically accomplished by appropriate specialists or semi-wide affiliations Population compared with wastewater gathering system is the range of customs presented with the wastewater gathering systems (sewerage). Wastewater gathering techniques may run on wastewater to cure plants or may pardon it without prescription to the earth Wastewater treatment is all approach of wastewater in wastewater treatment plants. Wastewater treatment plants are for the most part performed by appropriate authorities or by private organizations functioning corresponding to public want of available specialists. Consolidates wastewater passed on to cure plants by freighters. Masses associated with wastewater management is the range of societies whose wastewater is served at wastewater treatment plants.
Population connected to wastewater collecting system
Source: Environment Statistics Database | United Nations Statistics Division
Population connected to wastewater treatment
Source: Environment Statistics Database | United Nations Statistics Division
CEO RECOMMENDATION
A provider of compromise the board meets for clubs, it is in alike manner worth putting on whether an organization should arrange focusing on data culled from inside the home passage (for particular developing projects or attempt execution data) or from outside the property entryway (for example satellite-based remote identifying examination, business usage experiences, and macroeconomic conditions, etc.). This capacity would entitle an enterprise to clearly tell the data sources to the key threats firms face regarding their wealth and woman. Such choices would help communication with making spirit of the open entryways related with huge data and the realms that they demand to concentrate on to incorporate regard. Straightforwardness concerning the management of growers’ pictures – is built as a substantial issue and the situation of data hold is a mean test defying the sector5. Farmers are wisely circumspect about staking their letters if it prompts them seeing the event to be armed when it is strengthened with different datasets to address new traces of report (for instance empowering cash related vendors to dominate market yields). Works best when it is contemporary, gigantic and can be eased into existing datasets – these are a separate of the key principles that Sainsbury’s practices when relegating enormous data R&D stipends to agribusiness. Inside a flat, evidence can be understood as original when it closes a performance inconsistency and is regularly used identified with existing journals to move on new finds and gravity. Work jointly with small accessories where sober – seemingly with such vast figures and characters of letters perhaps free, indeed gigantic firms imagine that its astoundingly testing to thrust toward having to be all around masters in all specimens of exceptional circumstances. Where it is intelligent for partnerships to succeed in that quantity they should believe to conspire with alternatives to act progressively insightful courses of effort or to get to commitments authoritatively available from different providers which implement them to get to the game plans they lack in a crafty look.
REFERENCES
Devesa, F., Comas, J., Turon, C., Freixó, A., Carrasco, F., & Poch, M. (2009). Scenario analysis for the role of sanitation infrastructures in integrated urban wastewater management. Environmental modelling & software, 24(3), 371-380.
Naik, K. S., & Stenstrom, M. K. (2012). Evidence of the influence of wastewater treatment on improved public health. Water Science and Technology, 66(3), 644-652.
de Anda, J., & Shear, H. (2008). Challenges facing municipal wastewater treatment in Mexico. Public Works Management & Policy, 12(4), 590-598.
Irvine, R. J., Kostakis, C., Felgate, P. D., Jaehne, E. J., Chen, C., & White, J. M. (2011). Population drug use in Australia: a wastewater analysis. Forensic science international, 210(1-3), 69-73.
Mackuľak, T., Grabic, R., Gál, M., Gál, M., Birošová, L., & Bodík, I. (2015). Evaluation of different smoking habits during music festivals through wastewater analysis. Environmental toxicology and pharmacology, 40(3), 1015-1020.
Feenstra, S., Hussain, R., & van der Hoek, W. (2000). Health risks of irrigation with untreated urban wastewater in the southern Punjab, Pakistan.
        
        Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data reconciliation for wastewater treatment plant simulation studies—planning for high-quality data and typical sources of errors. Water environment research, 82(5), 426-433.
Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data reconciliation for wastewater treatment plant simulation studies—planning for high-quality data and typical sources of errors. Water environment research, 82(5), 426-433.
        
        Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data reconciliation for wastewater treatment plant simulation studies—planning for high-quality data and typical sources of errors. Water environment research, 82(5), 426-433.
Order ID 41182/UNdata_Export_Population connected to wastewater collecting system.csv
"Country or Area","Year","Value","Value Footnotes","Unit"
"Albania","2015","87","","%"
"Albania","2014","83","","%"
"Albania","2012","77","","%"
"Algeria","2015","90","","%"
"Algeria","2014","90","","%"
"Algeria","2013","90","","%"
"Algeria","2012","90","","%"
"Algeria","2011","87","","%"
"Algeria","2010","86","","%"
"Algeria","2009","79","","%"
"Algeria","2008","77.5","","%"
"Algeria","2007","74","","%"
"Algeria","2006","72","","%"
"Algeria","2005","72","","%"
"Algeria","2004","72","","%"
"Algeria","2003","71","","%"
"Algeria","2002","71","","%"
"Algeria","2001","71","","%"
"Algeria","2000","83","","%"
"Algeria","1998","66.3399963378906","","%"
"Algeria","1995","55.7299995422363","","%"
"Algeria","1990","48.3199996948242","","%"
"Andorra","2015","100","","%"
"Andorra","2014","100","","%"
"Andorra","2013","100","","%"
"Andorra","2012","100","","%"
"Andorra","2011","100","","%"
"Andorra","2010","100","","%"
"Andorra","2009","100","","%"
"Andorra","2008","100","","%"
"Andorra","2007","100","","%"
"Andorra","2006","100","","%"
"Andorra","2005","100","","%"
"Andorra","2004","100","","%"
"Andorra","2003","100","","%"
"Andorra","2002","100","","%"
"Andorra","2001","100","","%"
"Andorra","2000","100","","%"
"Andorra","1999","100","","%"
"Argentina","2010","50.2099990844727","","%"
"Argentina","2001","42.5","","%"
"Armenia","2015","69.9000015258789","","%"
"Armenia","2014","68.5","","%"
"Armenia","2013","69.6999969482422","","%"
"Armenia","2012","68","","%"
"Armenia","2011","69.5999984741211","","%"
"Armenia","2010","69.1999969482422","","%"
"Armenia","2009","69.0999984741211","","%"
"Armenia","2008","66.6999969482422","","%"
"Armenia","2007","67","","%"
"Armenia","2006","66.0999984741211","","%"
"Armenia","2005","65.0999984741211","","%"
"Armenia","2004","61.5999984741211","","%"
"Armenia","2003","60.2000007629395","","%"
"Armenia","2002","58.7999992370605","","%"
"Armenia","2001","62.7999992370605","","%"
"Armenia","2000","63.2999992370605","","%"
"Armenia","1999","63.5999984741211","","%"
"Armenia","1998","63.7000007629395","","%"
"Armenia","1997","64","","%"
"Armenia","1996","64.0999984741211","","%"
"Armenia","1995","65.6999969482422","","%"
"Armenia","1990","67.5999984741211","","%"
"Australia","2004","87","","%"
"Australia","2001","90","","%"
"Austria","2014","95","","%"
"Austria","2012","94.5","","%"
"Austria","2010","93.9000015258789","","%"
"Austria","2008","92.6999969482422","","%"
"Austria","2006","91.8000030517578","","%"
"Austria","2004","89","","%"
"Austria","2003","88.9000015258789","","%"
"Austria","2002","86","","%"
"Austria","2001","86","","%"
"Austria","2000","85.4000015258789","","%"
"Austria","1998","81","","%"
"Austria","1995","75.6999969482422","","%"
"Austria","1993","75.6999969482422","","%"
"Austria","1992","72","","%"
"Austria","1991","72","","%"
"Austria","1990","72","","%"
"Azerbaijan","2015","32.4000015258789","","%"
"Azerbaijan","2014","32.2999992370605","","%"
"Azerbaijan","2013","32.2000007629395","","%"
"Azerbaijan","2012","32.0999984741211","","%"
"Azerbaijan","2011","31.5","","%"
"Azerbaijan","2010","31.2999992370605","","%"
"Azerbaijan","2009","31.2999992370605","","%"
"Azerbaijan","2008","30.7999992370605","","%"
"Azerbaijan","2007","30.7999992370605","","%"
"Azerbaijan","2006","30.2000007629395","","%"
"Azerbaijan","2005","30.2000007629395","","%"
"Azerbaijan","2004","30","","%"
"Azerbaijan","2003","30","","%"
"Bahrain","2015","88","","%"
"Bahrain","2014","90","","%"
"Bahrain","2013","87","","%"
"Bahrain","2012","87","","%"
"Bahrain","2011","88","","%"
"Bahrain","2010","81","","%"
"Bahrain","2009","77","","%"
"Bahrain","2008","65","","%"
"Bahrain","2007","66","","%"
"Bahrain","2006","67","","%"
"Bahrain","2005","70","","%"
"Bahrain","2004","71","","%"
"Bahrain","2003","79","","%"
"Bahrain","2002","77","","%"
"Bahrain","2001","75","","%"
"Bahrain","2000","74","","%"
"Bahrain","1999","71","","%"
"Bahrain","1998","69","","%"
"Bahrain","1997","66","","%"
"Bahrain","1996","65","","%"
"Bahrain","1995","64","","%"
"Bahrain","1990","58","","%"
"Bangladesh","2015","21.7399997711182","1","%"
"Belgium","2013","91.4000015258789","","%"
"Belgium","2012","88.5699996948242","","%"
"Belgium","2011","84.4300003051758","","%"
"Belgium","2010","82.2300033569336","","%"
"Belgium","2009","88.5","","%"
"Belgium","2008","88.1999969482422","2","%"
"Belgium","2007","87.4000015258789","2","%"
"Belgium","2006","85.3000030517578","2","%"
"Belgium","2005","84","2","%"
"Belgium","2004","83.5","","%"
"Belgium","2003","81.9000015258789","","%"
"Belgium","2002","79.8000030517578","","%"
"Belgium","2001","79.8000030517578","","%"
"Belgium","2000","79.0999984741211","","%"
"Belgium","1999","81.3000030517578","","%"
"Belgium","1998","82.4000015258789","","%"
"Belgium","1997","81.1999969482422","","%"
"Belgium","1996","81.0999984741211","","%"
"Belgium","1995","81","","%"
"Belize","2010","60.3730010986328","","%"
"Belize","2000","15.1000003814697","","%"
"Bolivia (Plurinational State of)","2014","50.9213638305664","3","%"
"Bolivia (Plurinational State of)","2013","60.2533226013184","3","%"
"Bolivia (Plurinational State of)","2012","55.1990509033203","3","%"
"Bolivia (Plurinational State of)","2011","48.1069755554199","3","%"
"Bolivia (Plurinational State of)","2009","41.7925033569336","","%"
"Bolivia (Plurinational State of)","2008","45.0609169006348","","%"
"Bolivia (Plurinational State of)","2007","37.7384605407715","","%"
"Bolivia (Plurinational State of)","2006","31.9160251617432","","%"
"Bolivia (Plurinational State of)","2005","36.4000015258789","","%"
"Bolivia (Plurinational State of)","2003","31.3618469238281","4","%"
"Bolivia (Plurinational State of)","2002","30.8999996185303","","%"
"Bolivia (Plurinational State of)","2001","31.0564060211182","","%"
"Bolivia (Plurinational State of)","2000","34.5877876281738","","%"
"Bolivia (Plurinational State of)","1999","32.4739837646484","","%"
"Bolivia (Plurinational State of)","1998","34.4767723083496","","%"
"Bolivia (Plurinational State of)","1997","28.5734748840332","","%"
"Bolivia (Plurinational State of)","1996","25.3351058959961","","%"
"Bosnia and Herzegovina","2015","31","5","%"
"Bosnia and Herzegovina","2014","30","5","%"
"Bosnia and Herzegovina","2013","29","5","%"
"Bosnia and Herzegovina","2012","28","5","%"
"Bosnia and Herzegovina","2011","27","5","%"
"Bosnia and Herzegovina","2010","26","5","%"
"Bosnia and Herzegovina","2009","25","5","%"
"Bosnia and Herzegovina","2008","24","5","%"
"Bosnia and Herzegovina","2007","21","5","%"
"Bosnia and Herzegovina","2006","21","5","%"
"Bosnia and Herzegovina","2005","20","5","%"
"Bosnia and Herzegovina","2004","20","5","%"
"Bosnia and Herzegovina","2003","18","5","%"
"Bosnia and Herzegovina","2002","17","5","%"
"Bosnia and Herzegovina","2001","16","5","%"
"Bosnia and Herzegovina","2000","15","5","%"
"Brazil","2015","57.1100006103516","","%"
"Brazil","2014","55.8199996948242","","%"
"Brazil","2013","56.0499992370605","","%"
"Brazil","2012","54.939998626709","","%"
"Brazil","2011","52.8499984741211","","%"
"Brazil","2009","50.3600006103516","","%"
"Brazil","2008","50.2400016784668","","%"
"Brazil","2007","48.5499992370605","","%"
"Brazil","2006","45.8600006103516","","%"
"Brazil","2005","45.5","","%"
"Brazil","2004","45.3600006103516","","%"
"British Virgin Islands","2001","24.5","","%"
"British Virgin Islands","1991","17.1000003814697","","%"
"Brunei Darussalam","2011","90","","%"
"Brunei...