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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here is the exercise.
And here are the supporting files. When you download them to your computer, I would suggest creating a special folder to hold your R files. You can download easiest by right-clicking a […]
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Leave your response as a comment on this post by the beginning of class on March 30, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your op […]
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A theme of companies that use R are banks. Banks like Bank of America and ANZ, which is the fourth largest bank in Australia, are using R reporting and credit risk analysis. Social media sites like Facebook and Twitter have also utilized R to analyze status updates along with monitoring user experience on the site.
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Companies within the finance and insurance industries use R to develop new trading, pricing, and optimization strategies to increase returns and minimize risk. As an example, Lloyds of London insurance market uses R to model the potential costs associated with catastrophes such as hurricanes and earthquakes.
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Using statistical analysis and with the help of R studio scientists are researching how to create rechargeable alkali ions batteries. Considering that alkali ion batteries are the dominant source of energy storage today, this research of ions is helping make huge leaps in high density storage. The researchers in this articles are dealing with complex chemical equations that are made easy to analyze with the help of R and R studios.
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Zillow is a website that lists houses to rent/buy. Zillow uses R to create and update the estimates of prices. Once you find the average prices of houses in an area, you can reasonably come up with a price that is common for a house in the same area.
http://blog.revolutionanalytics.com/2014/05/companies-using-r-in-2014.html -
Kickstarter, a social funding program where individuals can donate cash to get a worthy project going y uses R to interpret, interact and visualize the funding. One of their charts, generated by R, shows the rapid decrease in the number of days it takes a project to accumulate $5 Million. With such a rapid growth of kick-started projects, the company is able to recognize it’s accomplishments of these projects by doing so.
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R is used at Facebook to generate unique graphs based off of user interactions.
http://www.fastcompany.com/3030063/why-the-r-programming-language-is-good-for-business -
Companies such as twitter use R for data visualization reasons. For example, twitter uses R to create a geocoded map to show where heavy traffic from users who use geotags come from. This map also shows how intense (dense) the usage of geotags are in certain areas.
http://blog.revolutionanalytics.com/2013/05/the-arteries-of-the-world-in-tweets.html
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Facebook uses R for Exploratory Data Analysis, Experimental Analysis, Big-Data Visualization, Human Resources, and user behavior analysis related to status updates and profile pictures. Facebook is a company that deals with a lot of data more than 500 terabytes a day and R is widely used at Facebook to visualize and analyze that data. Applications of R at Facebook include user behavior, content trends, human resources and even graphics for the IPO prospectus..
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http://www.inside-r.org/blogs/2014/06/11/more-companies-using-r-uber-and-cultureamp
Uber uses R for statistical analysis. For example, Uber was able to find out since the introduction of Uber in Seattle, DUI incidents have decreased 10%.
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Google is one company that uses R to produce better results for companies using Google’s advertising products. They use R for regression models, a statistical technique at Google used to evaluate the factors that lead to user satisfaction of Google products. They also use R to determines the effectiveness of display ads for its customers.
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After some research, I discovered that R is used by Bank America in their financial modeling. Particularly, the company likes R for its visualization tools and data-crunching capabilities. The article even reports that the Vice President of Bank of America thinks, “R makes our mundane tables stand out.”
http://blog.revolutionanalytics.com/2014/06/bank-of-america-uses-r-for-reporting.html
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I decided to check out some cool R packages. R is extremely powerful in data analysis and with the right packages you can accomplish an extensive amount of data analysis. I looked at a package called “vcd”. VCD stands for “Visualizing Categorical Data”. The package contains visualization techniques, data sets, summary and inference code aimed at categorical data, or data that can be separated into groups. The package places emphasis on grid graphics.
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A team at Cornell University used an R package called “sphet” to estimate and test spatial models with heteroskedastic innovations. R is used to take datasets containing variables and observations to generate conclusions (spatial matrices) that improve efficiency and consistency. It creates a tool for estimating variance-covariances of events to reduce error. This has many applicable uses all throughout business and technology (ie. manufacturing efficiency).
https://cran.r-project.org/web/packages/sphet/vignettes/sphet.pdf -
The National Weather Service uses R at its River Forcast Centers to generate graphics for flood forecasting. They can predict the time of year that rivers will flood and prepare for them.
http://www.revolutionanalytics.com/companies-using-r -
The dating site, OkCupid uses R to identify trends about the love lives of a typical OkCupid member. OkCupid is considered the “google of online dating” with 3.5 active members. The company’s co-founder Christian Rudder’s crew uses R to visualize big data quickly, something they couldn’t do with Excel. Rudder stated, “R lets us get a ‘zoomed-out’ view of what’s going on with the data, which helps us decide quickly if the tack we’re taking with the data is yielding something interesting.” One way the company has used R was to recognize patterns to compare the dating habits of gay and straight members.
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One of my favorite news sites is Nate Silver’s fivethirtyeight.com. They make visualizations on everything from sports, to politics, to when most people arrive at a party. These visualizations are insightful ways to view large amounts of data in neat graphs.
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Google uses R to measure the effectiveness of the ads on their site. It runs hundreds of tests a month using R to try to determine what factors lead to an effective ad and to see how the add affects future purchase decisions. Its really cool to see that a company as large as google makes use of the same program we are learning.
http://blog.revolutionanalytics.com/2011/08/google-r-effective-ads.html
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The New York Times has been utilizing R technology since 2009 to support its developmental presentation data analysis and data visualization. NYT uses R language to develop and implement their data journalism on the website as well as the newspaper. New York Times graphics editor and R pioneer described R in a recent podcast as “The greatest software on Earth”.
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Uber has become an extremely popular transportation service over the last few years. In doing my research of R, I found out that Uber uses it for statistical analysis. An example of how it uses R would be tracking how much DUI rates decrease in areas that offer their service.
http://blog.revolutionanalytics.com/2014/06/more-companies-using-r.html -
http://blog.revolutionanalytics.com/2012/04/r-at-the-consumer-financial-protection-bureau.html
The reason why the Consumer Financial Protection Bureau uses R is because there are recent graduates graduating out of college using R. They are using a platform that they are already use to. Another reason why they are using R is because The Mac and PC versions are similar. Majority of college students are using a Mac, once they are out of college they at least have the knowledge of R to navigate effectively.
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One of my favorite apps right now is Zillow. Zillow uses R to produce statistical predictive products. Zillow predicts full estimated costs of renting or purchasing real estate through the use of R. Zillow and its use of R allows its users to make better data driven decisions.
http://strataconf.com/stratany2012/public/schedule/detail/26345 -
After doing some research, I read that the United States uses R in their national weather programs and reports. An example of what the national weather services use R’s statistical analysis tools to do, is forecasting weather predictions like flooding or snow blizzards. As inaccurate as these predictions frequently can be, R helps to minimize errors. R also helps them to generate graphics, representing current real-time forecasts and storm trajectories.
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John Deere use R for reliable time series modeling and geospatial analysis.
R is used by John Deere for several purposes including forecasting demand for equipment, to forecasting crop yields , and even optimizing the build order on the production line that produces the tractors. This is especially important because John Deere provides forecasts to more than half the world’s food supply. The results are integrated with Excel and SAP.http://blog.revolutionanalytics.com/2012/11/video-how-john-deere-uses-r.html
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The National Institute of Science and Technology (NIST) used R language in BP’s oil leak case. To help US government have accurate and effective response to public, NIST used R language to run an uncertainty analysis that supply estimated evidences to US Government for best control the scale and scope of leaking oil. -
After some research, I discovered how Facebook’s team used R to analyze status updates of users. So basically what they did was categorized words based upon the 68 categories of the Linguistic Inquiry and Word Count Dictionary to view how frequent each category was being mentioned.
http://blog.revolutionanalytics.com/2010/12/analysis-of-facebook-status-updates.html -
Google uses R to calculate ROI on advertising campaigns; to predict economic activity; to analyze effectiveness on TV ads; and to make online advertising more effective. For example, Google has just released a new package for R: Causallmpact. This package allows Google to resolve the classical conundrum: how can we asses the impact of an intervention when we can not know what would have happened if we had not run the campaign? Also, this package gives the Google a “virtual” control. http://blog.revolutionanalytics.com/2014/09/google-uses-r-to-calculate-roi-on-advertising-campaigns.html
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Google uses R and has created a new package for R. This package enables them to take a look at the effects on an advertising campaign of website clicks. Their info graphic is simple to read and makes it so that a user who is not familiar with the type of data can easily assess the information with a short explanation.
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Facebook uses r for a varitey of functions. They are “Exploratory Data Analysis, Experimental Analysis, Big-Data Visualization, Human Resources, and user behaviour analysis related to status updates and profile pictures.” This allows Facebook to stay on top of current trends and predict future ones.
http://blog.revolutionanalytics.com/2014/05/companies-using-r-in-2014.html
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As I research for the companies that use R & R Studio in their business operations, I found out that many “big name” companies like Facebook, Bank of America, Google, New York Times etc use that software to carry out various process objectives. However what surprised me the most was to find out that Microsoft uses the software too to carry out some of their online xbox functions. This is because knowing the magnitude and the amount of intelligence Microsoft has, I was surprised that they did not create their own software tailor made to their processes and activities.
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R is used by various companies all over the world including one of the largest motor companies, Ford. R is huge part of the revolution at Ford as they are using it for various data science related objectives. This includes breaking down data silos between analytic groups within Ford and understanding how drivers are using electric cars, based on opt-in telemetry data from the cars themselves.
http://blog.revolutionanalytics.com/2014/11/ford-uses-r-for-data-driven-decision-making.html -
After doing research, I realized that lots of financial institutions and companies in various industries use R to carry out functions and bring about various data related to their work and research. Examples include finding standard deviations, averages,maximum & minimum return and even various qualitative information as well.
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s the link to today’s class capture: CC 32316
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s a little Excel function table that will walk us through some Excel review:
Excel Function Example
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
The slide deck for Intro to R has been posted under Slide Decks.
Make sure you have this handy for class and take additional notes!
Here’s the BaseballAnalysis.r script and the 2009BaseballTeamStats.csv d […]
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Hi – here’s the class capture for today: CC 3/21/16
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s the link: CC 3/18/16
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s the link to today’s class capture. CC 3/16/16
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
I encourage you to register for the 16th Annual IT Awards. It is our Institute of Business and Information Technology‘s biggest event of the year; IBIT is affiliated with the MIS department and is Fox’s conn […]
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
R is a widely-used, open source statistical analysis platform. RStudio is an integrated development environment for R – that means it makes using R easier!
You should install both software packages – R and RSt […]
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s the document: In-Class Exercise #9 – Descriptive Statistics Review
And here’s the key: In-Class Exercise #9 – Descriptive Statistics Review [KEY]
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s the study guide for exam 2. Exam 2 Study Guide
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
The Advanced Analytical Deck has been posted here.
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here are the documents for Assignment 5:
Assignment #5 – Pivot Tables
VandelaySales2013
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s the link to the deck for Dimensional Data Modeling – Decks
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 5 months ago
Here’s the document: In-Class Exercise #8 – Pivot Tables
Here’s the Salesperson Cube Data: In Class Exercise Salesperson Cube
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 6 months ago
Here’s the information you need to complete Assignment #4. This assignment will walk you through the process of ETL in Excel. You will learn some basic Excel formulas that will be helpful for the future as w […]
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 6 months ago
Hi – the slides for tomorrow’s ETL discussion can be found here: http://community.mis.temple.edu/mis2502sec001s16/slide-decks/
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 6 months ago
Hi – here’s your weekly question – it’s due the Monday we return from Spring Break, but please feel free to get it done before you go off and do something fabulous for the week!
Remember, it only needs to be […]
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“The Internet of Yesterday vs. Today”
I find this graphic to be a great example of a good data visualization for several reasons. First off, the topic is interesting and all of the colors complement each other, making the graphic easy on the eyes to read. Second, It displays meaningful comparisons on how the internet looked in the past vs. the present by making the background identical to how it really looked in their respective time periods. In addition to that, the data is conveniently placed there, which maximizes the graphics effect to tell a meaningful story through it’s comparison. Lastly, the references for the data used in the graphic by the creator can be easily found.
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This is a good example of data visualization because the topic is helpful and provides clear images to make it an easy read for those looking to create a logo. Use of successful logos from recognizable companies such as Apple and Nike make the viewer trust the information being provided. Headings with simple directions also keep the info graphic concise. -
“Where’s all the Water Going?”
I think this infographic does a great job of telling the story because it gives a great visual for understanding what happens to what and how much is needed for our normal daily processes. For example, they use easily understood objects/foods like a slice of bread or a glass of wine. In addition, they make the droplets of water in the infographic bigger or smaller depending on which object requires more water. It gets my attention, is easy to read, tells a great story, and informs me of a trend. -
This infographic is great because it is simple and easy to read. It does not have any unnecessary data ink therefore it is not cluttered with other information. The colors are eye catching and it is keen to the eye. -
http://www.dailyinfographic.com/wp-content/uploads/2015/10/6a00e54ee3905b883301910466eb21970.png
This infographic tells a nice story about why it’s important to invest in good customer service practices. It is an example of good data visualization because it uses colors that both differentiate each section from one another, but all go well together. The text is in a clear & easy to read format, and the pictures are colorful and assist in telling the story the data and text are telling. Ultimately, the infographic is easy to read and understand.
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“Is Your Idea Taken?”
This is infographic is relatively comprehensive and is ripe with relevant information. What it does is it notes everyday activities on the right side, and popular apps (Uber, Tinder, AirBnb, Birchbox) and it visualizes if there is a company that combines the two. This is great infographic because it is easy to understand, and relays a plethora of relevant data to the user. -
This graphic has much detail and explains through a couple different graphs how the prices of homes in different regions of London will or have risen. The first graph catches my eye through the use of colors to signify which regions have a high or low price range. The next section involves a more detailed description of each region like name, percent, and a quick excerpt explaining the price jump. This part acted almost like a detailed legend that helps the viewer better understand the graphic of London. There’s also a table that shows which type of property experienced the biggest/least jump from September 2014 to September 2015.
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What are the Hardest Languages to Learn?
This infographic does a great job telling a story. The graphic is organized well and has a lot of relevant and helpful information. From showing an outline of the country on a map, showing the real pronunciation of a language, and telling readers how many people speak the language, this infographic would definitely be useful for someone looking to pick up a new language. I especially liked how it explained what made the harder languages harder for native English speakers to learn. -
I found this infographic intriguing in telling the narrative of how student loan debt in America is spiraling out of control. The information is presented in a logical manner, with the first two layers showing the true scope of the problem before the third layer proposes possible solutions. Lastly, the colors used focuses the message with green being the color of money and black and blue complementing nicely. -
I found this info-graphic on Bitcoin and world finance on dailyinfographic.com: http://www.dailyinfographic.com/bitcoin-2015s-best-performing-currency
I choose this info-graphic because of how accurately and visually it describes how bitcoin is on the rise. The graphic does a wonderful job in illustrating how bitcoin is growing, as well as how it compares to other currency’s and why to keep your eye on it. It also follows most of all the rules we talked about in class and does a beautiful visual job in describing its performance as a currency. -
This infographic was interesting and I felt that it did a great job of illustrating how one can avoid a hangover. The light colors were balanced with pictures and text. I think it is a great example of an infographic because if there was no text, one could make inferences on the point that the creator was trying to get across. In the end, the best way to avoid a hangover is to stay sober! -
“First signs you should not accept that job” infographic says a lot about a company and why a person should not apply or accept the offer. The colors were not obnoxious, the text was not too small or wordy. Even the animated pictures were useful. It easily explained why a candidate should not work at a certain place by the signs and hints given by the employer and employees. Definitely using these useful tips when searching and interviewing for a job. -
The infographic successfully depicts the level of difficulty of learning foreign languages for native English speakers. The graphic shows the complexity of the languages, the number of class hours needed to become proficient, and displays the number of native speakers in the world relative to the nation in descending order. This graphic uses a donut chart representing a full year and is shaded to depict the number of weeks, as a percentage of the year, required to attain language proficiency. The infographic is neat, clear and easy to interpret, it uses different colors to separate the difficulty to make each one distinct. This graphic was easy to interpret without even checking the chart keys. -
“Millennials at Work”
I am using this infographic not only because of it’s clear data visualization, but because it is also relevant to today’s society. This infographic focuses on the percentage of millennials who have a certain opinion about their own group of peers. Everything from the colors, the amount of text, the focus, the percentages, and the depictions all work well together. I was also surprised to see that 66% of millennials believe that employers should limit social media in order to make our peers more productive. -
http://www.dailyinfographic.com/wp-content/uploads/2014/02/beercoffee-640×1960.png
This infographic explains the effects coffee and beer have on one’s brain and behavior. I like this because it uses that relationship to tell a story of how one can use beer to be creative and coffee to focus on implementing the creativity. The infographic represents this story in an easy-to-read way by splitting the image into sections and fun topics. It is simple and gets its point across very easily.
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I thought that this info-graphic successfully depicted a full spectrum of information centralized around start-up companies in America. The info-graphic shows in depth data analysis regarding everything from the most popular cities for American start-ups, the most popular industries for American start-ups, and even the top 10 words primarily used in their company names. The graphic utilizes a combination of bar graphs, pie charts, bullet-ed percentage lists, and even a national geographic map overlay to fully and clearly illustrate to the audience the crucial facts pertaining to the topic. The graphic does not use unnecessary distracting colors, patterns or images. Instead the graphics are simple and to the point which makes it easier to interpret and understand to anyone looking at the info-graphic even at a glance without reading the legend key. -
http://www.freehold-sale.co.uk/wp-content/uploads/2015/11/londons-expected-house-price-gain-infographic-freehold-sale.png
I thought that this was a good infographic because it has a colorful consistent color scheme. The color goes from dark green, representing the lowest percentage for price, and then transition to red, representing the highest percentage for price. There color choice also makes sense because the higher the price the more intense the transition of red. The font and size of the percentage is also clear and apparent. -
This infographic does a nice job of giving college students tips on how to save money while on a budget, in addition to other suggestions for student who want to stay healthy. It numbers each tip which makes the graphic easy to follow. The infographic also shows data which can be used to prove certain points that the creator is trying to make. By showing this data, it can easily be used to convince the target demographic–college students– that these are successful, worthwhile tips. I would also suggest this infographic to any college student who is on a budget and would like to save some money here and there.
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I like how neatly and clearly the information is on this info-graphic. The information it wants to clearly tell us is stated on the top with a visible header of “what not to do as a Tourist”. Followed by that are pretty much two columns with one stating what not to do and the other stating what to do instead. To top this off, and to avoid confusion as to why or why not certain things are not supposed to be done, they have put a mini bubble in between the columns to explain why the tourists are not recommended to do as so. It has simple and clear information that is not confusing to read at all and that is what I like from this info-graphic.
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“The Netflix Effect: How Streaming is Killing Cable”
I liked this graphic because it visually represented an interesting topic very well. It made good use of appropriate symbols to represent different topics, good choices in color and contrast to separate the different points on it, and its graphs were very effective in getting its points across. -
I think that this graphic is a great example of an excellent graph. It is easy to read and the title and images at the top and throughout the graph really makes it stand out and make you want to analyze it even more. Sentences and data are short and easy to read. Easy to see what types there are and how it is caused
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I liked this graphic that gave the reader several interesting facts about the US prison system. There are many facts all cleverly displayed in different styles that are pleasing to the eye and not repetitive. There are a nice mixture of words, numbers and pictures that coordinate well with one another. Finally, there is a theme for coloring and it is constant, not too crazy and not too bland.
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I liked this graph because it clearly explained the adoption of connected cars. It is very easy to see data, such as, unfamiliarity by demographic up to most requested features. There is a nice flow to the graph which makes it attractive to a reader to analyze the information given. -
I thought that this infographic was interesting because it showed how your brain reacts to drinking beer vs coffee. The graphics and color schemes did a good job of showing distinction between the two drinks. The beer graphic was an orange tone and the coffee graphic was a dark brown color, which is simple for anyone to understand. I also liked the face graphics that showed the emotions how a person drinking a particular substance would feel. -
This graphic does good job in data visualization. This knife graphic uses lots of graphic elements as “spiral”–represent different types of chef’s knife and specific parts for materials, “camber”–focus on the chop skill and dice precise. This graphic also uses clear titles, fonts and sizes to differ steps. From the names of parts of knife to the lingo for chopping, readers would know how to hold the knife in right way, or they would learn chopping is also a skill in cooking. Readers would have strongly visual experiences without data comparison.
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This is a great graph for three reasons. First, the graph’s format is really consistent, which makes readers easy to follow the information or to find the information they need. Second, there are not too many words in the graph, which gives the graph a “breath space” and makes the readers feel comfortable when they read the graph. Third the graph appropriately uses related icons to deliver certain messages to the readers, which makes reader much easier to understand the intend messages. -
http://www.coolinfographics.com/blog/2016/2/16/londons-expected-house-price-gain.html
The graphic regarding the prices of London homes stood out to me primarily due to the way the graphic flows and draws in the reader. What makes a good graphic is the goal of retaining the audience’s attention and making them truly withdraw the data from the graphic. For instance, if the graphic had no color, was unorganized, and/or was difficult to analyze then it would defeat the purpose of making a visualization for the data. The graphic is great because rather than throwing an ugly spreadsheet up, the data is put into a visually appealing and easily retained graphic.
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This infographic is great because it is simple and easy to read. It is simple on the eyes. It is not messy, it is more organized. The slot with the different color indicate what is available and what’s not available, something that helps the graph to be easily understood. -
This graphic explains the process over time how quiting smoking cigarettes affects our bodies. To begin with, I really liked how they associated the colors of the time periods to the body parts that they are referring to. It becomes easier to relate and better understand what they are talking about. Also, I realized they started with the color red and ended with blue, I think it shows how the body transformed to a better stage (blue). Overall, I really liked how simple and self explanatory it is, and the colors that make it more attractive that I think is perfect to be used for a presentation.
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Find a graphic that does a nice job of telling a story. Post a link to the graphic and explain why you think it’s an example of a good data visualization.
This infographic is very informative on the average household energy consumption throughout the past century. The graphics are clear on their own and does not really require text to understand the gist of the graphic. The timeline helps you understand the technological progress made in this time which is something you can infer on. There are meaningful comparisons between the different time periods which show the differences in energy consumption and even consumer tastes.
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The graphic I chose is the Youtube one http://blog.pexe.so/content/images/2015/12/youtube-stats-fin-1.jpg
I chose this graphic because the 3 pieces of information it is displaying all have little pictures that really indicate what is being talking about it. The number of uploads is represented by a little film strip, the upload time has a clock and lastly the data has a little piece of a graph. The information is also presented in descending order. This graphic does a great job of presenting its information in a clear, simple, and easy to interpret way.
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http://www.coolinfographics.com/blog/2016/2/16/londons-expected-house-price-gain.html
This infographic is a great example of data visualization. It clearly says in the title what story is being told. The first map uses colors from green to red to show the increase in house prices, red being the largest gain and green being the smallest. Under the large map is a breakdown of countries and exact percentages for more precise information. This example of data visualization clearly depicts the information in a way that is easily read and understood. -
The Cost of Love: Not All Relationships are Created Equal This Valentine’s Day
This graphic shows a great story about the differences of expenses and behaviors of men and women and society on and around Valentine’s Day. This is a great graphic because it tells a compelling story which many people can relate to. It is easy on the eyes which grab the person’s attention. The color theme of the infographic alone helps with the visual because it ties with the information visually. The whole infographic shows a meaningful comparison between the two sexes and also shows how society as a whole “change” around Valentine’s Day.
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This is a good inforgraph because it discusses what the affect smiling not only does to you but to everyone around you. It relieves stress, puts you in a better mood, and also puts everyone else around you in a better mood. The graphic gives statistics about what smiling can do to your body and also to others. It also gives visuals of what smiling and not smiling can do to others. -
This inforgraph tells a great story because it has a lot of visuals. It also have very great tips for college students like myself. The color scheme is also really appealing and it is very simple and straight to the point. -
I thought this was a good infographic because the images really supported what the text was saying. They images also made the text more understandable. For each type of pet vaccine, the graphic gave a timeline for when your pet should get it which was something that I liked. The vaccine guide is very straight forward and used minimal words which is why it is effective.
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Amy Lavin wrote a new post on the site MIS2502 Spring 2016 8 years, 6 months ago
Here’s the link for the Class Capure from 2/24 Class Capture
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