Fundamentals of Data Visualization: Understanding Different Types and Their Interpretation, Quizzes of English Language

Download Fundamentals of Data Visualization: Understanding Different Types and Their Interpretation and more Quizzes English Language in PDF only on Docsity! i isualizations a G —————————— 5 5 fy o 0 ry iB 3 3 3 , 2 ] 2 F f i | H 0 u ° a) q a eee) a a ee es Learning outcomes ● Identify some types of data visualizations ● Interpret data visualizations to better understand how data can be displayed ● Use vocabulary to describe data visualizations Data Science DS is a blend of various tools and algorithms and machine learning principles with the goal to discover hidden patterns from raw data. DS is a pool of tools and techniques used to study, extract and evaluate information and make money DS helps increase profit margins as organizations can tailor services and products for specific customer groups. Hence the necessity to learn some paramount skills needed for a data scientist and data analyst What is data visualization? These are some of the most-used data visualizations This is a column chart/bar graph. It is one of the most common types of data visualization tools. They’re a simple, time-honored way to show a comparison among different sets of data. You can also use a column chart to track data sets over time. What is this DV called? What kind of information does a bar graph display? Bar graphs are great for measuring and comparing values across several categories. This is another one of those standard chart types that’s instantly recognizable. A line graph is designed to reveal trends, progress, or changes that occur over time. As such, it works best when your data set is continuous rather than full of starts and stops. Like a column chart, data labels on a line graph are on the X-axis while measurements are on the Y-axis. What is this DV called? A pie chart represents one static number, divided into categories that constitute its individual portions. When you use one, you’ll represent numerical amounts in percentages. When you sum up all of the separate portions, they should add up to 100%. What is this DV called? What kind of information does a heat map display? Heat maps are great for seeing trends across geographic regions. It puts information in geographical context, so you can see what parts of an area are affected most Heat Maps are graphical representations of data that utilize color-coded systems. The primary purpose of Heat Maps is to better visualize the volume of locations/events within a dataset and assist in directing viewers towards areas on data visualizations that matter most. What is this DV called? 1. What is data visualization? ❏ It is the graphical representation of information and data ❏ It is the numerical representation of information and data ❏ It is the character representation of information and data ❏ None of the above 4. Data visualization tools provide an accessible way to see and understand .................... in data. ❏ trends ❏ outliers ❏ patterns ❏ All of the above 5. Which method uses dots to represent values for two different numeric variables? ❏ Treemaps ❏ Scatter plots ❏ Area charts ❏ Population pyramids 6. The importance of data visualization are ...................... ❏ Leading the target audience to focus on business insights to discover areas that require attention ❏ Revealing previously unnoticed key points about the data sources to help decision makers compose data analysis reports ❏ Helping decision makers understand how the business data is being interpreted to determine business decisions ❏ All of the above Today we will not learn how to make Data Visualizations But we will learn how to interpret and describe them Trends Description To be able to describe Data Visualizations, it is important to know: ➔ The nature of DV ➔ The necessary vocabulary Increasing Categories ● The number of people watching TV and movies increased from 1980 to 2020. ● The number of people watching TV and movies grew from 1980 to 2020. ● The number of people watching TV and movies rose from 1980 to 2020. ● The number of people watching TV and movies climbed from 1980 to 2020. ● The number of people watching TV and movies went up from 1980 to 2020. ● From 1980 to 2020, there was an increase in the number of people watching TV and movies. ● From 1980 to 2020, there was a growth in the number of people watching TV and movies. ● From 1980 to 2020, there was a rise in the number of people watching TV and movies. Decreasing Categories ● The number of people playing video games decreased from 1980 to 2020. ● The number of people playing video games declined from 1980 to 2020. ● The number of people playing video games dropped from 1980 to 2020. ● The number of people playing video games fell from 1980 to 2020. ● The number of people playing video games went down from 1980 to 2020. ● From 1980 to 2020, there was a decrease in the number of people playing video games. ● From 1980 to 2020, there was a decline in the number of people playing video games. ● From 1980 to 2020, there was a drop in the number of people playing video games. ● From 1980 to 2020, there was a fall in the number of people playing video games. Stable Categories ● The number of people playing music stayed at the same level from 1980 to 2020. ● The number of people playing music was constant from 1980 to 2020. ● The number of people playing music remained stable from 1980 to 2020. ● The number of people playing music remained unchanged from 1980 to 2020. Match the descriptions to the appropriate trend ★ Profits decreased sharply then remained steady before falling further ★ Customers started well then stayed the same ★ The level fluctuated everyday ★ Profits hit rock bottom before increasing sharply ★ Sales increased slowly at first before rising sharply ★ Prices decreased slowly ★ The prices peaked in the middle of the year A B C D E F G Tick the best answer ❏ A sharp increase in prices ❏ A constant increase in prices ❏ A modest increase in prices ❏ A gradual increase in prices ❏ Prices soared significantly ❏ Prices Plummeted suddenly ❏ Prices recovered constantly ❏ Prices went down steadily ❏ Production fell considerably over the first three quarters, reaching a low of 20. Since then it has staged a partial recovery. ❏ Production rose considerably over the first three quarters, reaching a low of 20. Since then it has staged a partial recovery. ❏ Production fell considerably over the first three quarters, reaching a low of 20. Since then it has fallen down again. . ❏ Production fell considerably over the first three quarters, reaching a low of 20. Since then it has risen a partial recovery. Fill in the blanks with the appropriate items The first chart ……………the percentage of the population who owned a smartphone from 2011 to 2016, and the second breaks the percentages down by age for 2011 and 2016. Overall, smartphone ownership …………...during the six-year period. In general, the younger people were, the more likely they were to own a smartphone. However, the most …………..increases in smartphone ownership between 2011 and 2016 ………..from people aged 45 to 54, from 46% to 84%; from those in the 55 to 64 category, from 9% to 59%; and from those aged 65 to 74, from 5% to 50%. The percentage of people who owned a smartphone ……….steadily, starting at around 35% in 2011 and ………….about 77% by 2016. People aged 16 to 24 represented the …………...percentage of smartphone ownership in both 2011 and 2016. 75% of people aged 25 to 34 and 72% of those aged 35 to 44 owned a smartphone in 2011, ………...to 88% and 86% respectively by 2016. Although almost nobody in the 75+ age category owned a smartphone in 2011, 15% of this group owned smartphones in 2016. illustrates increased significant came rose reaching greatest rising Describing a trend in writing? 3. Giving the detail ✔ You must make reference to the data. ✔ The key to organizing your body paragraphs is to group data together where there are patterns. To do this you need to identify any similarities and differences. An example: In 1975, the most popular fast food with Australian teenagers was fish and chips, being eaten 100 times a year. This was far higher than Pizza and hamburgers, which were consumed approximately 5 times a year. However, apart from a brief rise again from 1980 to 1985, the consumption of fish and chips gradually declined over the 25 year timescale to finish at just under 40. Now, lt*s  CLC WO