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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Leave your response as a comment on this post by the beginning of class on March 9, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the exercise.
And here is the dataset you’ll need [Vandelay Orders by Zipcode.xlsx].
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the exercise.
And here is the dataset you’ll need [Vandelay Orders by Zipcode.xlsx].
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here are the instructions (in Word) (and as a PDF). Make sure you read them carefully! This is an assignment that should be done individually.
And here is the data file you’ll need: VandelayOrders(Jan).xlsx.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here are the instructions (in Word) (and as a PDF). Make sure you read them carefully! This is an assignment that should be done individually.
And here is the data file you’ll need: VandelayOrders(Jan).xlsx.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Some quick instructions:
You must complete the quiz by the start of class on March 7, 2017.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign […] -
Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Some quick instructions:
You must complete the quiz by the start of class on March 7, 2017.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign […] -
Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the exercise.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the exercise.
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Laurel Miller wrote a new post on the site Industry Experience in MIS-SPRING 2017 8 years, 6 months ago
It’s hard to balance your schoolwork and your internship. Tell us how you are handling it and what tips you have for keeping it all together.
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This question doesn’t really pertain to me as I did my internship this past summer. On the other hand, some advice I would give to those who are balancing schoolwork and their respective internships is that it is time management. Its important to keep track of your time because it’ll keep you aware of what needs to get finished. Seeing that you have this much time and this much time of the day left shows you exactly what your priorities are. Time flies without us knowing and building strong time management skills would greatly improve our success in keeping it all together.
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Time management does play a pretty important role in being able to balance schoolwork and internship work. When you are only meeting for work once or twice a week, it gets easy to put off certain tasks for your internship. Sometimes I found myself focusing more on my school assignments and had to crunch in internship work last minute. One thing that I did to help manage my time was to write down all of my assignments into a planner, and mapped out how much time I needed to spend on each task. Using a planner is something that I havn’t done since what feels like 3rd grade, but it ended up being a really great tool to help me stay on track of assignments and planning out how to complete them.
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It all comes down to good time management. It’s already hard enough to balance school work and internship. You just really have to pick out what’s really important to you and set your priorities straight. I would suggest making a weekly schedule and just plan everything out ahead of time so you know what direction are you heading. I see school and interning as an investment to my future and that is what’s driving me to successfully balance the two. We can have as much fun as we want at the end of all this.
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I agree with many of the people that posted above, it comes down to time management and scheduling. Balancing 12 credits and an internship comes down to making sure you utilize your free time to be productive and accomplish homework/studying. The way I manage all of this is by utilizing a planner to figure out which assignments are due, which exams are coming up, and which projects require work. Each Sunday, I sit down and plan my week, and I make sure that I leave time for breaks. Overworking yourself will eventually wear you out, and I’ve been through this experience before. I’ve learned from my past, and gathered insight from many other people who have interned and taken classes. The best way to make sure you succeed is to plan everything, and make sure you are accomplishing goals at work and in school.
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At times I feel like I have a lot on my plate balancing six classes and 20 hour work weeks, but I agree with the above comments about time management. I keep a planner with all my school work written and give myself a lot of time to start assignments before the due date. I don’t think that you have to sacrifice your personal time and actually think that it is important for your sanity that you don’t. I still find time to go to the gym five days out of the week and have a social life outside of school and work. I am actually enjoying having to be so accountable and the task of balancing work and school. My biggest suggestion is just to plan ahead and give yourself your personal time so you don’t get yourself too overwhelmed with the balancing act.
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I agree with everyone else in the thread that it all comes down having a determined work ethic, and some serious time management skills. Personally, I like to break my work down by a weekly schedule, or a list of “to-do’s” and then from there take it day by day. Being able to break work down into what feels like more manageable bite size chunks is something that will really help you from becoming overwhelmed and drowning in your work – or having a mental breakdown. Also a similar trend of this thread is having some head space. Take breaks when you need them, and don’t feel guilty about doing it. All work and no play really isn’t good for you, so make sure to have a decent balance in your life. At the end of the day, I think most employers realize that their interns’ top priority is schoolwork, so there is a bit of leeway when it comes to deadlines and things of that nature.
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I agree with those regarding incredible time management. Obviously between work and school you might not have time for everything you want to do, since time is limited everyday. The main thing I have done in order to cope with work and school is by not wasting any time on my weekends. My last class for the week is on Thursday and I immediately start next weeks school work starting on Friday. By trying to get a weeks worth of school done on Friday through Sunday, I am able to reduce some of the stress from the busy work and class schedule during the week. By being productive on my weekends, I am able to be successful in both work and school.
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As far as the job training, I completed it while I was not in school. However, prior to the job training and this semester I have maintained a Full-time corporate job while taking on a full-time course load. Being able to successfully handle the full work and course-load means thats an individual has to be fully dedicated. To be successful you have to prioritize your time. I’ve learned a lot about time management. If something comes up it can throw everything off so you have to sacrifice you’re personal/free time and just think about the results that the hard work will provide.n This can become very stressful at times. I try to put the best in all that I do and sometimes feel overwhelmed because sometimes I feel like school affects my work and vice versa. In the end it is all worth it.
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Going to school and having a one or more jobs has been my life since I became i lifeguard at 16. To me balancing priorities and work and school and whatever else is simply a necessary part of life. There have only been minor times when I found myself missing assignments or work because I couldn’t balance my time correctly. I believe it has to do with just how motivated you are, how much dedication you have to your goals. Of course there will be lots of stress along the way but as you reach your goals it will be well worth any sacrifice. There is only so much time in a day, this is why I do my work in a manner that allows me to have to for everything I want to be able to do while still doing well in the workplace and in a school setting.
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It can be challenging at times to work a full-time internship and be a full-time student. The key to balancing it all out and keeping it together for me is to plan and prioritize. I am a huge fan of using Microsoft Office 365 products to keep it all together and know what I have to do. Everything I need is either in my Outlook calendar or in a prioritized list within OneNote. First thing I do every morning is look at both the calendar and the list. One of the features within OneNote that really helps to stay organized and on track is with the tag features that at a glance will show what task is most prevalent. The ability to always have access on any device to my lists, calendars, and documents is what helps keep me together. Couldn’t imagine a world without.
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I currently take 15 credits and working 40 hour weeks, certainly not easy thing to balance. It was hard especially at the beginning, mainly because I had to handle a lot of information all at one. I think the key here is efficient time management. First, I was trying to remember all of my daily tasks but often times I would forget one or two tasks and then remember them only later. In order to accomplish all of the tasks that I planned for the day I recently adopted a new habit of having a daily/weekly planner. Putting all of the tasks on paper and then crossing them off once they are accomplished makes my day much more stress free. Many executives are also having that habit, so I highly recommend it to anyone who is having trouble accomplishing all of their daily tasks.
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I go to school full time, I have a full-time job as Director of Business Development for a consulting firm, and I take care of my two younger brothers. Without my calendar I am lost, I even have to make appointments to see friends on weekdays, for lunch and weekends or I have no social life. I have a calendar I share with my friends and family so they can “book” time with me if they want to hang out, which is ridiculous if you think about it, but if it’s not on my calendar it doesn’t get done.
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I found managing time between the internship and school to be extremely difficult. Specifically during this time period where we have midterms and on top of having to devote X hours a week at work and Y hours at lecture and doing homework assignments, one must allocate time to properly prepare for exams (all of which fall within a two week period). It’s been super stressful and now that most of the wave has passed, things are becoming manageable. I think the best thing which has helped me was to block out my time and make it a priority to be productive in those blocks. The most consistently difficult time period has been after work a 5pm where I often fall into the habit of sitting on my couch and watching TV. This turns into hours of wasted time. To avoid this obstacle, I make it a point not to stay in my house for more than 30 minutes after work and normally prepare a cup of coffee and then head to the library to do work.
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Buy a planner! That is the best advice I could give anyone. Don’t rely on technology to keep you informed about assignments. I found it difficult and time consuming to set up the applications that remind you when something is due, or organizes your schedule. A planner had helped me organize and balance my life tremendously. With two jobs, two internships, two capstone classes, and a full time course load, I found myself sinking very easily in the beginning. I’ve disciplined myself to write everything I hear or need to do down into my planner. It has a time log of my work hours, a time log of my internship hours, due dates, appointments, and even study hours. I track almost everything from bills to birthdays, and even have listed times that my CEO
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It has a time log of my work hours, a time log of my internship hours, due dates, appointments, and even study hours. I track almost everything from bills to birthdays, and even have listed times that my CEO is available to talk. I also have a section for financial goals, work goals, and personal goals, as well as a section devoted to project planning.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Just a reminder that the extra credit for in-class exercise 5.2 is due Tuesday, February 28 before class.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Leave your response as a comment on this post by the beginning of class on March 2, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Leave your response as a comment on this post by the beginning of class on March 2, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]
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https://www.washingtonpost.com/graphics/national/united-states-of-oil/
This article is interesting to me because I’ve taken a couple courses relating to fracking and how horrible it is to those living near these sites and to the earth itself, however majority of U.S citizens benefits from cheap oil and gas and the US in general makes a lot of money. In this website, it shows how there’s an increase in U.S oil/gas. It contains colorful graphs that shows the increase in oil.gas and color maps that shows where these gas/pol sites are and labels describing them.
To know that “there are more than 900,000 active oil and gas wells in the United States, and more than 130,000 have been drilled since 2010” and for Trump to lift more bans is pretty devastating to those living near these sites and to the earth itself. I believe that there are better alternatives than to dig up the earth for gas/oil or money. -
Would Trump’s ‘Blue Lives Matter’ Effort Really Help Protect Police?
This article takes a look at President Trump’s signed executive order to try to make attacks on police a federal crime. The article takes a look at the numbers behind cop deaths to see whether this would truly have an impact and protect cops. Behind the numbers, the highest cause of death for a police officer between 2011 and 2015 on average was traffic-related, which makes the proposed changes, not necessarily effective, as traffic-related deaths are accidental, and the order won’t do anything for accidental deaths. The article was interesting, because the way the media frames attacks on police officers, you would think law enforcement deaths would be on the rise, however, according to the article, they have been on a downward trend for overall for years. Hopefully something can be done to effectively protect police officers, as I am a strong supporter of law enforcement. -
http://www.usatoday.com/story/tech/nation-now/2017/02/15/switch-worlds-largest-data-center-building-opens-nev/97967578/
This article talks about the creation of the world’s largest data center building in Reno. The magnitude of 1.3 million square feet area for data is pretty insane and commendable. This means more data can be stored in our every expanding world of data. On the plus side, the facility runs off of renewable energy and can help provide faster data speeds to the surrounding area. -
https://www.forbes.com/sites/bernardmarr/2017/02/22/big-data-why-nasa-can-now-visualize-its-lessons-learned/#1835c6672003
This article is extremely interesting to me due to the relevance of NASA right now, and how critical data is to the operations of them. The way they use data and programs that sort through millions of documents is amazing. The way Meza used a database to determine that the data sorting program was not efficient shows how important data can be. Mesa also mentions how he found a program that makes it easier to combine information and showcase it in a graph form. This is relevant because we are using Tableau to showcase information just as NASA is using a program that does just the same called Neo4J. -
https://www.forbes.com/sites/quora/2017/02/06/is-data-science-too-easy/#2030f97292a9
I found this article interesting because it discusses data scientists in the current professional climate and offers insights about the occupation. The article goes on to explain the role of a data scientist and how they contribute to the field of data science with the utilization of technologies like R and Hadoop. It also points out that data science is a growing field and no company is certain about the “right” way to go about analyzing Big Data. Overall, it is clear that the job is difficult, but successful data scientists are extremely valuable to an organization.
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Source: http://money.cnn.com/2017/02/25/technology/data-refuge-saving-data/
Data Refuge is a volunteer group of hackers, scientists, writers and students. Their main goal is to preserve the collected federal data and keep it publicly accessible. The group found that the White House has removed all federal data from the site. The site now only displays a message informing the searchers to check back soon for new data. Data such as animal testing, puppy mill cruelty and company audits were completely removed since the inauguration of Trump. The spokeswoman for the USDA informed CNNTech that the removal was done to protect privacy. The removal of public data affects many organizations since they are dependent upon the data. In order to prevent data droughts, Data Refuge has participated in civic activism to prevent such scenario from taking place. -
Source: http://www.rdmag.com/article/2017/02/sports-equipment-sensors-send-data-directly-coachs-smartphones
This article about the installment of sensors into sports equipment interests me because of the direct effect it can have on sports at all levels. These low cost sensors can help athletes improve their skills by measuring things like speed and trajectory. They also could help officials make accurate calls on a professional level. For example, a touch sensor could tell NBA officials who last touched a basketball before it went out of bounds. I think this is great for athletes, coaches, and sports in general, as the data derived from these sensors can help athletes of the future on all levels improve their skills.
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https://www.bloomberg.com/view/articles/2017-02-16/do-you-trust-big-data-try-googling-the-holocaust
This article is talking about trusting the big data you see. Lots of data now a days is not filtered or changed frequently. In the article, Mr. O’Neil states “When I typed the phrase “Was the Hol” into Google, the search engine auto-completed to “Was the Holocaust real?” Of the top six search results, four were Holocaust-denying sites. That’s despite Google’s efforts to address this problem back in December, and I’m not unique.” This was one of the few examples he used in the article to show that big data isn’t always reliable.
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http://mashable.com/2017/02/23/elon-musk-tesla-lifetime-insurance/#JmslVnabYkqQ In this article, Tesla is beginning to be so sure of its self-driving car that the company is going to offer lifetime insurance and a maintenance program. This means that those monthly bills are gone and a peace of mind could start to set in. I find this most interesting because the technology came so far since the debut of the first Tesla to even mention something like a lifetime insurance.
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In this article, data analytics is becoming the next big thing for the 5 major sectors of business. The business insurance industry are collecting lots of new data to see if any new major trends are happening. They want to start serving the older babyboomer generation. There is a huge amount of them who do not have nay kind of life insurance and people want to start seeing to get them into getting insured. They said it is never to late for them to get it.
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In this article, data is analyzed for future costs to get humans Mars. In 1989, NASA estimated a future 400 billion dollar human Mars mission…that number in 2014, turned out to only be a mere 100 billion. Today it is reported that numbers are as low as just 6 billion dollars. The article describes how the mission is so expensive that it is not talked about in the media much at all anymore.
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I found this article interesting because it discussed how data can be abused to sway opinions and further personal agendas. By manipulating data so that it fits with a conclusion a certain party believes in instead of using data to form conclusions, people can use data to persuade others into supporting their views. This is particularly dangerous when the data in question is government data. When important government data is manipulated or removed, there is a lack of knowledge necessary in order for the public to form their own unbiased opinions.
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https://www.orbitmedia.com/blog/blogger-research/
I am interested in blogging (or any type of lifestyle online resource)e being apart of my future career. In this data set, Andy Crestodina asked 1075 bloggers the same 11 questions and came up with some helpful insight of successful bloggers. For instance, to the question “how long does it take to write a typical blog post” they found most bloggers take 1-2 hours. And to the question, “Do bloggers use editors?” they found most bloggers edit their own work. Crestodina basically found that bloggers are doing more than before in regards to their blogs. It’s interesting for me to read how successful bloggers handle their blogs, so I can use this as a helpful starting point. -
https://phys.org/news/2017-02-smart-analysis-stuttgart.html
I found this article very interesting because it showed me how our mobile network connects us all.This article specifically talks about how our mobile network is a possible solution to help with traffic in cities. This is a very good idea and analysis if you read the article because it shows that open data has many applications to creating a better and more efficient society.
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http://www.baselinemag.com/analytics-big-data/how-to-get-business-value-from-big-data-analytics.html
I selected this article because it provided more insight into big data and its role within a competitive business landscape. The article discusses how IT is becoming a commodity amongst businesses, specifically with the IoT. According to the article, 65% of IT leaders believe that that they risk becoming irrelevant and/or uncompetitive if they do not embrace big data, while 64 percent say that big data is changing traditional boundaries and 24 percent are already experiencing ingress of competitors from adjacent sectors. The three key areas where business leaders are focusing on within this space is: infrastructure, the IT framework to support data, and the individuals in the organization. This enables the ability to identify the most relevant data out of a broader data pool.
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http://www.biztechmagazine.com/article/2015/07/golf-gets-swing-analytics
This article relates to me as I have a passion for golf as well as the drive to continuously getting better each year. Analytics in golf have made tremendous improvements over recent years as they can now fine detail almost every aspect of the golf swing. The article is interesting to me as I can so closely relate to some of the same work professional are doing that I also do in my free time. Often my coach can simply throw numbers at me about say the loft or swing angle and instantly I know where I need to adjust.
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This article really fascinates me because I’m a big fan of Pixar and animated movie. The thing I love about this article is the data visualization which shows the budget and the profit of movies categorized by topics such as monsters, toys, animals, etc Combine with the bright color which matches with topic of animated movie, audience can easily see what movie brings a lot of profit for Pixar and what categorized movie is more favorable. This data visualization inspires me to think of broader data visualization types in which we can be creative. It also reminds me of the lecture and the readings about data visualization in class. Lastly, it is amazing that Toy Story 3 has the highest profits of more than $860 million!
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http://www.economist.com/news/finance-and-economics/21717431-bilateral-trade-flow-data-are-misleading-reported-tweak-will-not-help
This article’s topic is America’s trade imports and exports, and how Donald Trump intends to make changes to the trade policies. It is fascinating because of the various data it presents. Currently, America sells goods to gain trillions of dollars in revenues, thus increasing the the amount of money owed to America by other countries. With Donald Trump’s intended plans, America would lost money in the billions and the trade deficits of other countries would decrease in the billions. -
This article discusses the predictive validity of the NBA Draft Combine on the future performance of basketball players. The data is gathered by a principal component analysis (PCA) or principal component regression (PCR) that analyzes first-year and third-year on-court performers at the college level. Three components that were identified would be length/size, power/quickness, and upper-body strength. Of the three components, length/size was the predictor that was significantly most associated with future on-court performance at the NBA level. This was interesting to me because I was always wondering how NBA scouts and coaches determined a players value. Now, I understand the Sixers, “Trust the Process” system.
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https://www.gamblinginsider.com/in-depth/2942/advanced-guard-the-importance-of-data-security
I believe this article is really relevant because reports the importance of company’s investments in data security in order to avoid bad publicity and lost revenue. Security data breach can have substantial negative impacts on an organization. The author points out five critical levels of security and conclude saying that the best way to protect sensitive gaming data such as customer credit cards, personally identifiable information and player data is to remove as much of the sensitive information from the merchant’s environment in order to not “touch” the merchant’s system and therefore, there is no valuable data to steal. Taking preventive actions like this, the company could avoid negative long-term effects like damage to the brand and loss of trust, loss of customers and negative political implications. -
The NCAA Is Modernizing The Way It Picks March Madness Teams
This article here I thought was very interesting, because it talks about how the NCAA Tournament committee is changing the analyltical system they use to pick what teams do and don’t make the field of 68. Their current system known as RPI (ratings percentage index) was developed in 1980, but after the past couple years of the committee snubbing some teams that by the popular opinion thought should be in, they are introducing new aspects to the system from another index know as KPI(Ken Pom Index) that was developed in 2004 by a Michigan State basketball manager. This is a big deal for me, because I am a HUGE college basketball fan and would like to see the committee be able to better select the right teams to be put in the field. On top of that I am considering to go to graduate school for Sport Analytics, so this article really piqued my interest.
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https://fivethirtyeight.com/features/when-did-sports-become-so-political/-
This FiveThirtyEight article is based on the overall significance and correlation between sports and data. Sports history and player comparisons rely strictly on data, the statistics of players to be specific. The article shows how data and statistics are essential in observing and comparing different athletes based on home runs, touchdowns, points, goals, etc. When people say that “data is everywhere”, they truly mean this. Sometimes, I come to forget how important data is to sports. However, sports history and comparisons rely heavily on data.
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https://www.nytimes.com/2017/02/28/technology/science-research-researchgate-gates-goldman.html?rref=collection%2Fsectioncollection%2Ftechnology&action=click&contentCollection=technology®ion=stream&module=stream_unit&version=latest&contentPlacement=10&pgtype=sectionfront&_r=0
This New York Times article details an open source for researchers to post their papers and get tips from fellow researches on where to focus their time and what will help them. It is essentially a social media network that connects scientific researchers to better assist their data collection. It was solving the problem of slow feedback on current research and a lack of network for researchers to communicate. They have raised $52.6 million from investors to fund this project. They also detail how this type of crowd learning has become more popular, used in cancer research and at Ivy League Universities. -
This article is about the number of liters drunk by visitors of the 2014 Oktoberfest. A bar graph shows 1980, 1985, 2004, and 2014 numbers of liters drank. It went from only 3.8m liters drank in 1980 up to 7.7m in 2014. There is also a scatter plot showing as the years have increased the price per beer has also went up.
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http://www.nature.com/news/data-on-movements-of-refugees-and-migrants-are-flawed-1.21568
The article about data movements of refugees and migrants is interesting because we are aware of the fact that these people are leaving their countries but we are not 100% sure of where they end up going. In Europe, this problem had an enormous impact in terms of which country needed the most help and where exactly. The data is useful to take initiatives to help these people like in Germany. The growing number of immigrant coming into the country was the reason why the german government decided to provide them courses to learn a specific area of the business and contribute to the society. This solution, benefitted both parties.
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With the huge hype and talk about the recent events that occurred which is the Oscars its only fitting bring data relating to Oscar Predictions before the Oscars happened. I like this because it focuses on the biggest areas in which people wanna see in the Oscar predictions and also it’s very straight forward and organize. With one of the graphs it clearly shows the difference between each area of subject just by how large the difference is and which is more soupier then the others.
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http://quotes.wsj.com/QVCA/financials
The stock price of a share of stock for QVC was at a high of 26$ one year ago. Since then the price of a share of stock has been showing a natural decreasing trend down to 19$ a share. on august 3rd the stock price of QVC dropped significantly by 6$
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http://smallbusiness.chron.com/role-data-business-20405.html
I feel like this article is important because it is relevant to business and in order to have a successful business you need to know your data. If businesses used all of the data they got then that data would benefit them every time. But the problem is about half of the data you get inst need and is useless. I feel like if you mastered analyzing data and you implemented it into your business then your business would be doing much better.
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URL- https://www.nytimes.com/2017/02/23/nyregion/new-york-city-subway-ridership.html?rref=collection%2Fsectioncollection%2Fnyregion
This article is about how people in New York City would rather take an uber or other car service rather than the subway. This is the first time the subway ridership has declined in 8 years. The article says that the percentage of people taking a subway on a weekday has increased slightly, but the percentage of people taking a subway on a weekend has gone down, probably due to visitors and people going out. A problem that could arise from this is that the amount of traffic in the city could be even worse, which is hard to believe. -
This article discussed the continuous data breaches that Yahoo has been encountering. It was an interesting read because the article was primarily focusing on the fact that the data breaches are occurring because of the executive team is not putting enough time and care to “properly comprehend or investigate” said breaches. I think this is an important thing to note about companies and their data. Similar to anything in an organization, it starts from the top down. Yahoo’s executives need to take data seriously, especially in the process or protecting it and preventing these breaches from happening again. Without the time and diligence spent on this, these breaches will continue to happen and Yahoo’s reputation will continue to go down. Data is important and executives/CEOs need to make this a priority – especially for a tech company like Yahoo.
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This article is basically about a study that the Stanford University School of Medicine did testing the theory that (classical)music helps us focus. They conducted an experiment that monitored brain activity which showed that the most activity was during the transitions between movements. I thought it was interesting because we’ve all heard that theory growing up, and we’ve all seen pregnant women put headphones on their bellies and it’s just an interesting concept. But what interested me most about the article is that I study classical music and I love the idea that it makes you smarter. Lucky me!
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URL: https://gcn.com/articles/2017/03/01/nyc-data-pedestrian-safety.aspx
This article basically talks about how data from car accidents and how people drive can help prevent future accidents from occurring. Some examples given were that some devices record information about how people brake too hard and speed too fast. Using that information, they classify which areas of New York are known for extreme braking and speeding and see if there is a correlation with the number of accidents at those areas. The article also states that because of lack of light in certain areas during winter and fall correlated with a 40% increase in severe crashes. Using this data, more light could be added to prevent fatal accidents. I found this interesting because I was thinking about the amount of money insurance would save when they would have less claims to pay. I take an introduction to risk management course and my professor talks about insurances and how they are not evil and are good for you.
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This article discusses an anomaly about NBA superstar Russell Westbrook’s play this season. Westbrook has been having a phenomenal year, averaging a triple double 60 games into the season (meaning that he has three different statistics in double digits). However, despite his dominant performance, he is being extremely predictable in one-on-one situations this season. The article shows how Westbrook moves to his left nearly 3/4 times and still manages to get around defenders to keep his numbers so high. It’s very interesting to see that even though Westbrook is predictable according to the data yet he still leads the league in scoring. I found this article interesting because I enjoy analyzing sports statistics and have been paying close attention to Westbrook’s historic season. -
https://www.forbes.com/billionaires/#/version:realtime_page:3
This artcle is about world’s richest man. The most interesting thing is it changing real time. One week ago, China’s biggest express company came into the market. And the founder became a billionaire. But at that time his net asset was about 1.5 billion. A lot of people want to buy the stock, and now his net assets is 26.7 billion. We saw the whole process his net assets was increased 2 billion per day. Now he is the third richest man in China, 26th in worldwide. I found it interesting because it is a dynmic data.
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https://www.forbes.com/billionaires/#/version:realtime_page:3
This artcle is about world’s richest man. The most interesting thing is it changing real time. One week ago, China’s biggest express company came into the market. And the founder became a billionaire. But at that time his net asset was about 1.5 billion. A lot of people want to buy the stock, and now his net assets is 26.7 billion. We saw the whole process his net assets was increased 2 billion per day. Now he is the third richest man in China, 26th in worldwide. I choose it because it is a dynmic data. Everytime we check it, it may have some things different.
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http://www.theverge.com/2017/3/2/14788218/5g-mwc-2017 5G: (Super Fast Data, throttled by reality.)
I choose this article because it describes how our technology have been advance at such a fast pace. The ability to connect to 5g will revolutionize our connection as a whole. The new speeds will allow users to download at a rate of 10 gigbits per second, which is unheard of! This will allow people to access data quicker and to process it faster. This technology will change the way humans interact and learn.
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https://projects.fivethirtyeight.com/congress-trump-score/
This is an interactive data visualization in which you can see how closely each congressman/woman and house representative voted inline with Trump’s policy. If you click on the politicians name you can then see each bill that was voted on in the Senate or House and how each politician voted on that. Then if you click on the hyperlink of each bill it will bring you to Congress’s website going more in depth about the bill. This link gives you information on what party the congressman/woman or representative is, a score on how closely he or she votes in line with Trump’s policy, Trumps share of the election votes in that specific state or district, how often they were predicted to vote in line with Trump, and the difference of their predicted score and actual score. -
https://www.forbes.com/sites/kurtbadenhausen/2016/12/06/michael-jordan-heads-the-highest-paid-athletes-of-all-time-with-1-7-billion/#6e5731b91f1d
The title of this article is “How Michael Jordan heads the highest paid athletes of all time with $ 1.7 billion” written by Kurt Badenhausen. Even though, Michael Jordan the NBA’s greatest player made $93 million in salary over 15 seasons playing for the Bulls and Wizards, he generated $2.8 billion in revenue for Nike in its most recent fiscal year. In this article, he also states the salary for the other athletes who has and had high salary such as Arnold Palmer, Tiger Woods, Michael Schumacher, Nolan Ryan, Roger Federer, Alex Rodriguez, Lionel Messi and etc. -
http://www.sporttechie.com/2017/02/07/analytics/bigdata/how-data-runs-the-sports-world/
This article shares information on how big sport data collection is within professional sports. Most fans think that just the statistics and numbers we see on ESPN is the only data analytics professional sports teams do. However, as shown in this article sports organizations do a lot more than that, including, finding out the best times to air the games, customer behavior, how much to price the tickets, etc. -
http://www.cnbc.com/2017/02/27/digital-video-game-sales-surge-in-january-to-75-billion.html
I’m a gamer, and I download the game to PC directly because I don’t like to keep DVDs. In this article, the SuperData Research reports that video games downloaded directly to personal devices increase 9.8% in January compare to the same period last year. Download version sales to PC and consoles raise fast these years. More and more gamers prefer to download at home instead of buy at a store. -
https://www.mtggoldfish.com/articles/modern-on-sale
This article discusses the prior and expected future prices of cards from the card game “Magic: The Gathering” based upon an upcoming set of cards. The article draws from data collected over the years, and uses it and past trends withing the data to estimate where the prices will go next, and when the best time to buy certain cards is. This is an interesting topic to me because I play the game, and I will be engaging in the buying and selling that influences the market.
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https://www.theguardian.com/travel/2015/nov/18/top-10-budget-beach-hotels-mexico-pacific-coast-bed-breakfast
With spring break just around the corner, many students travel to warmer climates, preferably with beaches. This article names the top 10 cheaper beach hotels on Mexico’s Pacific Coast. All of these hotels stretch along the 1,000 mile coast that is known for it’s fabulous beaches. It states when the hotels were built and how much a stay is per night. With us students being on a tight budget, these hotels are pretty reasonable prices, all located on the beautiful coastline. Mexico is the perfect place for a getaway with friends while escaping the stress and pressures of school work for a week.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Some quick instructions:
You must complete the quiz by the start of class on February 28, 2017.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to […] -
Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Some quick instructions:
You must complete the quiz by the start of class on February 28, 2017.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to […] -
Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the study guide for the first midterm exam.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the study guide for the first midterm exam.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the exercise.
And here is the graphic file you’ll need: Philadelphia Area Obesity Rates.png.
Right-click on the file and save it to your computer.
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Laurel Miller wrote a new post on the site MIS 0855: Data Science Spring 2017 8 years, 6 months ago
Here is the exercise.
And here is the graphic file you’ll need: Philadelphia Area Obesity Rates.png.
Right-click on the file and save it to your computer.
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Laurel Miller wrote a new post on the site Industry Experience in MIS-SPRING 2017 8 years, 6 months ago
For the powerpoint outline you may submit to me a one page word document basically listing what you will cover in your powerpoint in bullet format. Your draft then will be your rough slides in powerpoint.
Let […]
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Since my experience with excel is very limited I have never made one of these mistakes due to not having an opportunity to. The most important data corruption mistake to avoid is to not click Yes when the message says “do you want to remove this from the server?”. This is the most important to avoid because it is extremely detrimental to the work you are doing and it deletes not only the data but also the metadata.
Before taking this course, I rarely worked with data and programs like excel. But, If I were to relate to one of these, it would be clicking “yes” without carefully evaluating the message that says “do you want to remove this from the server?” I have definitely made this mistake before on my computer and deleted things I did not mean to get rid of. I probably did not make this mistake on excel because I do not use the program often. But I have made the mistake before and deleted important information by accident. I think it is very important to avoid clicking “yes” without completely evaluating what the message is saying because you could lose data and information completely, or create much more work for yourself.
During senior year of High school, I had to use excel to create my own credit card balance and show what will happen if I only pay the minimum amount and how much more I would end up paying. Since the assignment asked us to put an amount of $100,000 or higher, the rows were extremely long. I fell in the stupid corruption tricks of “Copying formulas that use relative coordinates” where I “intended to copy cell contents all the way to the end of a row set, but the copy-down operation stops at an empty cell” that I didn’t notice. I then had to start all over again because my data had already become dirty.
I had an experience with number 4, it was during my high school year when i was trying to sort my data from my bio lab and I accidentally forgot to select all of the columns. It was not something that could be easily fix and i have learned my lesson since then. The one thing I would mostly want to avoid is working on the database w/o doing a full backup prior. That way if I were to mess up, I can easily pull up the database that I saved before and rework on the database.
Most of my experience with Excel has come this semester, and I have yet to have any major issues with data corruption. I believe the most important mistake to avoid is clicking “yes” without reading the “do you want to remove this from the server.” This can lead to the deleting of metadata and configurations, as well as data.
I believe the most important thing to remember is to create the backup. Anything can happen within a software and we always regret it when it happens after we do a ton of modifications. Sometimes, but not always, Excel has the auto save feature, but that rarely occurs when the computer itself loses power. Having a backup ready or even saving a worksheet periodically can save one time and money.
There have been a couple of instances where I have copied formulas that use relative coordinates when trying to make calculations using a set of data. When this happens, the formula doesn’t use the correct cells and there will be a miscalculation. Luckily, these problems have been easy for me to fix because the data sets I have worked with are relatively small and it is obvious when there has been an error in the formula. However, these minor errors show the importance of being careful when using formulas in Excel.
One mistake that I have made quite often is to copy the formulas that use relative coordinates. The error occurs when the correct cells are not selected in the formula which results in a miscalculation; you wish to copy all the cells till the end but the copy-down operation stops if there is an empty cell. There have been times when I fail to notice the glitch in the calculation until I go back and review the entire data set. To avoid this issue, certain values must be locked so that they don’t change when the cells are dragged down. This just shows that you cannot assume that all the information in Excel is accurate, and you have to be careful in order to avoid miscalculations.
I’ve used Excel a lot throughout both high school and college. It’s safe to say that I’ve made a number of these errors. I’ve definitely opened a CSV file directly into Excel without meaning to. I was probably aggregating phone numbers and trying to tie them to various DMAs. I’ve also copied formulas that use relative coordinates without editing the formula. This has happened in many assignments at Temple. The data would have errors all over the place and I had to edit it before using the formula.
I make the mistake of not backing my excel data up before editing it. As I never had any really big issues, it still is a concern that I don’t do it. The main reason I’m getting lucky Is because of the Excel “reverse” function that allows me to fix a quick mistake. However, in the future if I am doing a big project in Excel, I think the backup would be necessary.
I have made two mistakes that are stated in the article. The first mistake is that I started working on a database without backing up the original file. The reason this was bad was because I did not remember what I had before I have made the changes. Also, I couldn’t compare the two types of data or even delete the data and try again with the original. The other Mistake I have made was missing the data type, because if you put a zero of the beginning, it would automatically be deleted if the data type is not text. I thought if I had the type on numbers I would be able to put zero at the beginning but that was not true.
I think the most important mistake to avoid when it comes to working with excel is to “start working on the database without doing a full backup first” because if you don’t back up or save the original copy and you make a mistake, there is no way to go back. You would have to start your excel sheet all over again. It wouldn’t matter if you were sure not to make any of the other data mistakes like missing the data type, if you screw up your entire spreadsheet and can’t go back to the original.
Since my experience with working Microsoft excel I have committed mistake number 6, which would be “Miss the data type.” This occurred when I was working at my front desk job at Temple and mistakenly misrepresented a date as an integer. Because of this mistake, the dates were messed up and did not correlate with the rest of the data I had in the excel spreadsheet. This caused false data to appear for my co-workers and I. I now always try to avoid at all costs making that same mistake again.
I have never had a personal experience with any of the data corruption mistakes described in “Stupid Data Corruption Tricks”. However, by reading the article it does become fairly clear which mistakes out of the ones listed are worse than others. To me, I believe the mistake which is most important to avoid is “start working on the database without doing a full backup first”. Saving your work and backing it up is very important. If you do not save your work or make a mistake like this, you may lose all of your work and be forced to start all over again. This is a mistake which I believe is the most important to avoid out of the mistakes discussed in the article.
I have indeed made one of the mistakes listed in “Stupid Data Corruption Tricks”. I don’t have much experience with working with data, but in all of the times that I have I have never made a backup of my data. At my level, the slip up doesn’t really matter as none of my data mattered, but it could quickly become a much larger problem as I start working with more important data that would need to be backed up. In the future, I will start performing backups of my data in case an unexpected problem occurs.
I believe that the most important mistakes to avoid is number 3. Starting to work on a database that has not been fully backed up first is one of the easiest mistakes to make. It is also one of the most simple tasks to follow.
One of my most unforgetful Excel mistakes involves number 4 – sorting. It was last summer when I was recruiting attendants for my 200-person study-abroad event. Instead of only clicking the first cell of the column I wanted to sort, I selected the entire column and sort. Hence, all the data mixed up but the worst part was I did not realize that. I even sent out all the acceptance and rejection letters for more than 500 people. When my teammate found out that we messed up the data sheet, we had to start all over again and even had to find a way to recover the original sheet. Then we had to email all 500 people again with apologies. I would never forget this mistake and this great Excel lesson.
Since I have a very limited experience on Excel I haven’t made none of those mistakes. However, by reading the article I believe the most important and relatively easy one to avoid is “start working on the database without doing a full backup first” because by having a backup is a secure way to have always your starting point in hands in case of any mistakes along the process or even just to check information in the original data. Without a backup your ability to review any points of the original data gets impaired and correcting this is an easy step that would bring a lot of positive rewards.
When working for an energy efficiency company we were collecting data on energy efficiency rebate programs throughout the country. The database would then be read by a system that could auto populate the rebate applications. For the system to read the data though it needed to be formatted perfectly. It was very difficult to determine the proper data type while collecting the information. We also were able to easily corrupt the data by uploading excel docs twice or not converting them to CSV files.
I think the most important thing to avoid is #3 “Start working on the database without doing a full backup first.” This is because small edits or changes can corrupt the data or interfere with reports. This can cause frustration on the database administrator’s end, but more importantly result in inaccurate information or a crippled system.
I have yet to make one of these mistakes but I am sure over the course of the next few years here at Temple I am bound to break one of them. I feel the most important thing to avoid would be Number 1. The absolute last thing any person wants is to lose all their hard work they’ve created without realizing it. In the past, I’ve deleted papers by accident and didn’t realize until I tried to pull them up days later; there’s no worse feeling than that.
One of the common mistakes I have made in excel are placing values in fields that are supposed to be pointers or references. Sorting through vasts amounts of data can be difficult to coordinate, especially when there are saved references. Usually, I have a difficult time dealing with this in excel or a CRM system. To avoid this, I began highlighting the referenced points in either a different font or color. This ensures that the saved data won’t be corrupted or come up with a “Reference Error.”
In my previous internship I was assigned a task to pull all the clients with all their information. This entailed a lot of fields and columns in excel. I made the mistake of working on this document without ever saving it. One day I was in a rush to leave work and forgot to save the file on my drive. That night the tech restarted all computers and updated the software. I sadly lost all the information that i was working on for weeks. i believe backing up your data is one of the most important things you could do.
One of the problems I encountered from the article is sorting a spreadsheet without including all the columns, I was working on a database for an organization I volunteer for and I was sorting the members by status––how often they come depicted by “A,” “B,” and “C.” The database contained all personal information such as full name, phone number, address, status, position within the organization, etc. All of the data got jumbled up; however, I was able to correct it since I had a backup file available.
Start working on the database without doing a full backup first
This is the one that I feel would be most important. Before working on something you must make sure you have a backup. There are so many things that can happen and you always want to have a backup just in case. That is my number one rule when working with anything on the computer. I always have a backup saved somewhere. To me it is most important.
I have not used excel too much in my life, so I have not made any of the mistakes listed. However, if I had to pick I would say, “Click “yes” without carefully evaluating the message that says “do you want to remove this from the server?” is the worst mistake. We as individual workers are always trying to get our work done as fast as possible and it is easy to misread a pop up window. That is why I think this is the most important mistake to avoid because it is something that could dramatically effect our excel sheets.
I think the mistake that I have done from this article is not backing up data before working on it. I have worked on certain things and a handful of times my computer would shut down and the material that I was working on didn’t save and I lost everything. This could easily be avoided if I continue to backup my files and I wouldn’t have to worry about losing my work.
A mistake I have made before from this list, is the error in #4 where when you sort a spreadsheet and you do not add all the columns. I was organizing a list of internships for my job in the STHM CSPD, but neglecting to add 3 extra columns when sorting which would have left the data out of place for these specific 3 entires. I was able to fix it however since I went back to check my work before finalizing and passing it on to my boss.
One of my biggest mistakes I made in excel was not making a back up. My professor for my excel class actually told us that we should do this in case we made a mistake. However, I didn’t think anything of it and because of that I faced the consequences. While doing an assignment I made a mistake in the excel documented and couldn’t go back and because I didn’t had a back up I had to start all over. Ignoring that tip was’t the best idea and me having a back up has became a habit every time I use excel.
I have not worked with Excel as much as other people but I do think that number 3 is the most important to avoid. A lot of times I make sure to save my Excel file at least every 20 minutes before I continue working. I am always scared that I will forget to save my work. I even put it on my flash drive and work on the file on my computer than replacing the finished file in my flash drive again.
I usually forgot backup my works before. The most serious situation I faced about half year ago. My computer’s hard drive was broken, and it could’t start. When I brought my computer to fix, a lot of pictures, word, excel and data couldn’t recovery any more. So backup important documents is very important.
I have never really worked with Excel before so I have not made any of these mistakes. I think number three is the most important problem to avoid: “start working on the database without doing a full backup first.” I always save everything that I do about 3 times before I am actually finished working on whatever it is. I get very paranoid that wha I am working on will not get saved at all, or not saved after I am finished with the final product.
Though I have made mistakes using excel before, I cannot clearly recall a time where I made any of these ten mistakes. However, I would think that the one that is most important to avoid would be mistake number 5: using a deduping tool with “loose” criteria. For most of the mistakes listed in this sheet, it seems that making that mistake can be undone if you realize the error quickly enough. However, the article says that merges, which is part of mistake 5, cannot be undone. If you were to make this mistake then it is extremely difficult to rectify your mistake.
In my opinion, creating a backup is more important than anything else. No matter what I did wrong, I can open the backup and do it again. Once I was typing an essay on an old version of Microsoft Word, and the computer was very slow and automatically shut down after a few hours. All my work was unsaved, and I have to rewrite the paragraphs I have done. After that, I click save button almost every 3 minutes to make sure I have the backup.
Since I use excel very infrequently I haven’t experienced these mistakes off hand. In my opinion I think the most important data trick is being able to identify what system your logged into. If you don’t log out of your account before switching from computer to computer people can change the data or even delete your files.
Since I have not used excel that much before I did not make any of the mistakes listed in the article. However, I think the number 1 that “clicking “yes” without carefully evaluating the message that says “do you want to remove this from the server?”” will be the most important things to avoid because it could actually delete metadata and configurations, not just data as indicated in the article.
I have never really used excel frequently throughout my high school career. I now see how many different mistakes can be made from such a program. but one of the mistakes I think is the most important to avoid is number four. It is very important that you sort out the data correctly because if it is not done right, you can corrupt all the data and mess up the entire file which then is useless.
I am not a continuous user of excel, but the one mistake that seems to be the most important to avoid would be #3. Forgetting to do a full backup first could be detrimental because someone could lose a lot of data. It is so important to backup while working on a database, and so that is why you should be aware of this issue at all times.
I’ve accidentally made mistake number four from the article (sort a spreadsheet, but not include all the columns). Some of the columns in my spreadsheet were separated by an empty column, so the columns on the other side of the empty columns weren’t’ sorted. My data was across rows, so the values got mixed up between the rows and I had to go back and use another copy of the data before I made the error.
Although I haven’t had to work with excel very much, the times that I have I definitely suffered from Number 7: Put values in fields that are supposed to be pointers or references. It’s so easy to get caught in all the number at hand that sometimes you forget about the numbers that were initially there to either compare or contrast with at the end. All numbers look the same sometimes and if you’re not careful with spacing and separation, you’re bound to get the whole table-set wrong when it comes to forming calculations.
One of my most common mistakes for utilizing Excel would be that of not backing up the database, and start working on it without the mandatory or recommended backup. I believe that since Excel saves automatically i don’t need to save it much often; however, i realized after several lost of data instances, that I need to save data more often so i can prevent data losses in the later future. Hence, this is one of the most common mistakes from the article that I commit.
I’ve never personally made any of these mistakes because I never really have to deal with numbers(outside of a classroom setting), but I assume the main thing to look out for is the subject category so things like dropping the initial 0 in the Jersey zip codes doesn’t happen.
I have downloaded CSV files directly into excel. When I did this nothing that I know of happened and things seemed to work out fine. But I think a really important thing to look out for is clicking “yes” when the popup asks if you want to remove this from the server. Personally when I see popups like that on my computer I just hit yes or save or what ever option is going to happen when I hit the enter key on my computer. Like the article says this can severely corrupt the meta data consequently corrupting the interpretation of your data.