China

       The internet is not a very recent trend for the users of china and has taken the country by storm in the recent years. The internet was first introduced to china in 1987 but popularity and accessibility has become more widespread. The users has hit an all time high at close to 500 million in late 2011 and will climb due to the huge population and the spreading of the wealth.

      The hours a day spent by the Chinese people has increased a big amount over the last ten years . The average per user per week is around 18 hours and has doubled since 2002.the gender usage had been about 60 40 male to female respectively. The average is slowly crawling to 50 50 and show that women are now getting more access to internet.

     The internet in China is not free access like in the united states and is moderated by the government. the internet is a worldwide resource and should not be censored as it belongs to everyone. Internet censorship is on the verge of spreading and it is not good the internet is owned by the world and the select few should not be allowed to police it.

Twitter informatic

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       This Is a twitter infographics on 2 different basketball players Lebron James and Blake Griffin. this is a showdown that compares both parties information and displays them side by side. It  is displays this information in a certain order covering various aspects like people following and locations where they are popular.

       It also looks at data like peoples mentions and timing in which they tweet. It Shows that lebron james has more fans everywhere and tweets more frequently that blake griffin. it also shows the ratio of followers to followed. Even though both are NBA players it shows how popular they are world wide .

   

Twitter Sentiment

I used The TwitGraph and AImotion blog and compared the 2 wordle summaries , these two wordle layouts use similar and different words like data preference user good and bad. the also have different small words . they do not include the word cloud as a searchable item.

ClickFox

1.ClickFox is a survey type company that  maps out customers experiences and delivers that information to companies to allow for the improvements. It is a CEM company that monitors customer reactions through such as voice and speech-enabled IVRs, CTI, Contact Center, Web, Kiosks, mobile device. It identifies key business drivers collects and analyzes data, determines impact, implements and then monitors and measures the information necessary to determine improvements for the company.


2. I do not know what use case example application 3 is .


3. ClickFox seems to be doing great and i think they are a great company and seem to have big clients as well. They also have many ways of monitoring the customer reactions for the companies they work for. they are also the pioneering company in the field as well as the best in the industry so i think that this company is doing something right.It also has a great implementation of their methodology.


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cloudera

1. HADOOP: is a large scales batch data processing system it is important because all large websites use it to process and store big data.
2.Cloudera: Gives Big companies a data platform a variation of HADOOP and gives the user a more enhanced  storage and processing system.
3. PIG: is a platform language is a used for analyzing data sets and lets you perform actions like merging and filtering data sets. and users can create their own functions as well.
4. HIVE: is a data warehouse software built from Hadoop that allows data sets and querying and uses QL language. It does not allow real time and row level query .
5. Cassandra : is a highly scalable distributed and decentralized data store that is very efficient for fast writing and reading. It was created at Facebook
6. Mahout: another variation of hadoop that allows for classification, listing and clusters information, it is what allows some websites to show recommended items.

Many Eyes

The First Visualization shows the concentration of unemployment in the regions and the whole of the united states of America. It Shows The data for all four categories that can be used the employment/unemployment for the genders in each of the states. The data it shows is that there are more employed divorced males and females than they are unemployed.It also shows that female unemployment  is very low in middle America.

The Second Visualization compares the different states employment and unemployment of both genders. It can be used to show which state has the highest or lowest employment  or unemployment per state. This chart is probably the best for finding the order of most to least unemployment. It Is a great tool to see the best and worst of all categories.

The Third Visualization shows the correlation between male and female employment or unemployment in the country as a whole. this is a great tool to see how genders or employment vs unemployment stacks up. the data is good for comparison of those stats but not really as good for comparing the states individually.

Energy Production - comparing the US and China" in your BLOG.

This Chart Shows the worlds GDP production and the Energy production of the countries in the world but has the us and china specifically highlighted. This chart shows how the united states and china have done from 1981 to 2010. It is meant to show the correlation between GDP production and the amount of energy produced by the countries at that time.

The United states Chart movement is good  for the GDP but not as good for the energy production. The United States has  more than doubled its GDP production in just about 30 years but its energy production has just increased about 15 - 20 percent. This chart does show how overwhelmingly wealthy the united states is compared to the rest of the world and is still producing more that double the rest of the worlds ( excluding Russia and China) energy production.

China's chart is impressive because it does not show up until 2000A.D.  and doubles its GDP as well as its Energy production in just about 9 years. This Chart shows why china is in rout to becoming the country with the most GDP. China is increasing at a overwhelming rate while the US is increasing China is just increasing too fast for the US and will eventually overtake it. This Chart shows that China can really produce energy efficiently.





This Chart Shows the Correlation between the countries GDP and its CO2 emission's highlighted between China and the United States. This Also shows the rest of the worlds changes. The Reason i chose to do this chart is to see how the amount of money available to the average person would influence their own carbon footprint.This Chart Shows the change in money from 1960 to 2008 about 50 years of data for both China and The U.S.

The United states GDP went from about 10,000 dollars per person to about 40,000 dollars per person. The CO2 emissions fluctuated around 20 for the whole time and is making a descend . The United States results basically showed that even though the GDP about tripled the United States has kept their carbon footprint at a responsible level.

China has not had much change to the GDP or the CO2 emissions over these 50 years . It has kept the CO2 emissions well below the 20 mark the United States is hovering around. The lack of GDP changes are not good because it shows that even though china is getting wealthy the people do not have a high level of personal income. Their chart is not surprising because of the amount of people in china as well as them reeling from Communism and emerging as a free market.