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introduction to analytics
- 2. LEARNING OUTCOME • Awareness on Data Visualization Tool
- 3. VISUALIZATION IS… • Based on (non-visual) data • Primarily producing an image • Readable and Recognizable The conversion of any abstract data into a graphical format so the characteristics and relationships of the data can be explored and analyzed. Mark Madsen, Third Nature
- 5. EXAMPLES OF DATA VISUALIZATION
- 6. PURPOSE OF VISUALIZATION • TO DIRECT
- 7. PURPOSE OF VISUALIZATION • TO INFORM
- 8. PURPOSE OF VISUALIZATION • TO EDUCATE
- 9. PURPOSE OF VISUALIZATION • TO ENTERTAIN
- 10. PURPOSE OF VISUALIZATION • TO LIE 2000 2100 2200 2300 2400 YES NO DON'T KNOW Happy with Management
- 11. PURPOSE OF VISUALIZATION • TO DISCOVER
- 12. PURPOSE OF VISUALIZATION • TO KEEP TRACK OF THINGS
- 13. Beware of your Brain WORKSHOP Which is darker A or B? Equal size or not?
- 15. How many 5’s?
- 16. Again, how many 5’s?
- 17. The first Bar Chart (1786!)
- 18. ……and Pie Charts William Playfair, 1801 Florence Nightingale, 1826
- 19. Did you know? 90% of all information to our brains is visual. People remember…
- 20. Bad Infographics: 10 mistakes you never want to make 1. It just doesn’t add up We’ve all seen these before. A pie chart with slices that simply don’t add up to a 100 percent, like the one below which totals 188 percent.
- 21. Bad Infographics: 10 mistakes you never want to make 2. Choosing the wrong type of chart Another common mistake is selecting a data visualization that does not accurately reflect the information, like in the case above.
- 22. To choose the right type of chart, just ask yourself if you want to: Bad Infographics: 10 mistakes you never want to make Compare Values: • Bar Chart • Line Chart Show the individual parts that make up a whole: • Pie Chart • Stacked Bar • Stacked Column Understand how data is distributed: • Scatter Plot • Line Chart • Bar Chart Analyzed Trends: • Bar Chart • Line Chart Comprehend relationship between data sets: • Line Chart • Scatter Plot • Bubble Chart
- 23. Bad Infographics: 10 mistakes you never want to make 3. Including too much information A common mistake made by amateur infographic creators is including too much information in a single piece. Instead of including long chunks of text, use concise, impactful sound bites combined with strong visuals to drive your message home.
- 24. Bad Infographics: 10 mistakes you never want to make 4. Inaccurate scales Another common chart-making sin is using scales that don’t accurately reflect the data. This commonly occurs with charts that show relationships between data sets, such as the bubble chart.
- 25. Bad Infographics: 10 mistakes you never want to make 5. Wrong placement of axes When making charts for infographics, remember to always prioritize clarity and accuracy above aesthetics.
- 26. Bad Infographics: 10 mistakes you never want to make 6. Forcing the reader to do more work The mark of an effective infographic is its ability to make complex information easy to understand and interesting at the same time.
- 27. Bad Infographics: 10 mistakes you never want to make 7. Hard-to-understand comparisons Another error that ties in with the previous mistake is using comparisons that don’t actually make it easier to get an overall sense of the data.
- 28. Bad Infographics: 10 mistakes you never want to make 8. Arranging data non-intuitively To ensure that the reader understands your visual information at first glance, always arrange the data in an intuitive manner. x
- 29. Bad Infographics: 10 mistakes you never want to make 9. Misrepresenting data with 3D charts 3D charts make look better than flat ones, but don’t make the mistake of using them as they can skew data and make it difficult to make accurate comparisons.
- 30. Bad Infographics: 10 mistakes you never want to make 10. Trying too hard to be different Lastly, many mistakes are made when you ignore common conventions in order to be original. Since most data visualizations such as charts and graphs follow certain standards that are recognized worldwide, it is best to stick to the rules when it comes to making these.
- 31. Directions: (Group yourselves into 5) Study the following pie-chart and the table and answer the questions based on them. Proportion of Population of Seven Villages in 1997 WORKSHOP
- 32. Question: If in 1998, the population of villages Y and V increase by 10% each and the percentage of population below poverty line remains unchanged for all the villages, then find the population of village V below poverty line in 1998, given that the population of village Y in 1997 was 30000. Option A): 13140 Option B): 12760 Option C): 11250 Option D): 13780 WORKSHOP
- 33. Correct Answer is Option B): 12760 WORKSHOP
- 35. “ The goal of most visualization is decision making” Colin Ware
- 36. Thank You!
Editor's Notes
- Target Airplane Restroom School Crossing
- Intro: In an increasingly visual world, bad infographics have become the bane of the Internet. Just ask users who are bombarded on a daily basis with everything from poorly designed visuals to flat-out inaccurate data visualizations. This pandemic has gotten so bad that up to 95% of infographics from unknown sites have distorted the truth or just plain lied. It’s ruining the Web--so much so that users have gotten better and better at spotting misleading data as soon as they see it. Although you don’t have to be a math wiz to figure this one out, the mistake is more common than we think. This can occur, for example, when presenting the results of a poll that allowed for more than one response. In this case, the responses will not add up to 100, in which case another type of chart should be used.
- Or take, for example, this data visualization. Since the respondents were given a single choice, the answers add up to a 100 percent. This means that a pie chart--not a bar chart-- is the most appropriate format. Also, the information is not presented in descending order, which makes it all the more difficult to understand and compare the figures.
- Also, too much information in your graphs and charts can defeat the whole purpose of your infographic: to make information and data easy to understand at first glance.
- the size of the bubbles do not accurately reflect the relationship between the amount of money donated to the treatment of a disease and the numbers of deaths caused by it.
- The chart above, for instance, might look clean and pleasing to the eye, but it fails to place data into context by including an x- and y-axis.
- Infographics like this one, though, force the reader to do more--not less--work in the process of trying to understand the information. A common mistake is to separate the legend from the main data, forcing the reader to look back and forth between the central visualization and the meaning of each icon or color.
- The stacked columns above, for example, don’t allow the reader to contrast values because they aren’t placed side by side but scattered all over a map. This makes it difficult to compare the size of each color-coded bar segment.
- What exactly does this mean? For example, if you’re including a pie chart in your infographic, don’t place your segments randomly but in order of size. In the above example, segments are arranged in any order, which makes for a messy-looking chart. In the next pie chart, however, the segments are arranged in order of size in a counterclockwise direction.
- Just look at how the bar graph above misleads the viewer by making the first bar appear so much greater in value than the rest of the bars in comparison.
- For example, the chart tries to defy the norm by turning the chart upside down, but it only makes the reader have to work harder to fully comprehend the data.