Term Data Visualizations is about visualization of variables like position, length, area, shape and color. These variables used in graphical forms such as framed-rectangle charts and dot charts. Graphical perception started 200 years ago. Data visualization is to represent the data in patterns which helps to understand the raw data, and graphics helps to decode the information into graphs which make easier to understand the data by presenting it. Data Analytics used in every field, as we know data is useless without analytics, it help us make sense of data and convert it into meaningful trends.

Cleveland and McGill explained about what is the best way to done the data visualization. According to this article “Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods” it explains about what are ways to create graph. According to their work they come up results given in figure and with the help of different experiments they decode and rank. Cleveland-and-McGill’s Cleveland and McGill said people should use bar charts and scatter plots for better results and to avoid the pie charts and stacked charts, and their experiment explains that judgement is based on length which is better than area judgement and area judgements are better than volume judgements, which means length is better for judgement.

Another research done on Cleveland and McGill theory by Crowdsourcing graphical perception, which created by Amazon. Mechanical Turk research is about graphical perception of crowdsourcing. This bubble chart explaining about population of all countries and population of all US counties. Size of USA population bubble is smaller than two largest population countries (India and China) because of population but area size of USA is bigger than both of them. So it explains about how bubble chart highlight is bigger in size in what kind.

Countries Population Countries Area Size

References: 1. W. S. Cleveland and R. McGill. Graphical perception: Theory, experimentation, and application to the development of graphical methods. J. Am. Statistical Assoc., 79:531-554, 1984. 2. Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design Jeffrey Heer, Michael Bostock ACM Human Factors in Computing Systems (CHI), 203-212, 2010 3. https://www.gapminder.org/world/#$majorMode=chart$is;shi=t;ly=2003;lb=f;il=t;fs=11;al=30;stl=t;st=t;nsl=t;se=t$wst;tts=C$ts;sp=5.59290322580644;ti=2013$zpv;v=0$inc_x;mmid=XCOORDS;iid=phAwcNAVuyj1jiMAkmq1iMg;by=ind$inc_y;mmid=YCOORDS;iid=phAwcNAVuyj2tPLxKvvnNPA;by=ind$inc_s;uniValue=8.21;iid=phAwcNAVuyj0XOoBL_n5tAQ;by=ind$inc_c;uniValue=255;gid=CATID0;by=grp$map_x;scale=log;dataMin=194;dataMax=96846$map_y;scale=lin;dataMin=23;dataMax=86$map_s;sma=49;smi=2.65$cd;bd=0$inds=;modified=60