It is the tool used for the data analyst. The one of the best features of Tableau is Hybrid connectivity of Cloud. It is also used to analyze the data fast as well as easy. It is the most trending as well as the most popular tool. Tableau is one of the best data visualization tools. It makes the complex data to understand simpler as well as usable. The effective reports help us to analyze the data. This helps in communicate the data as a quantitative message. It will represent as the lines or by using the bars. The numerical data may represent using the dots. It will also use the information graphs as well as the other tools. This is possible using the statistical graphics as well as the plots. It will communicate the information clear as well as most effective. It is said to be both an art and the science. This is possible by placing it in the visual context. In simple terms it is the understanding of the data. It involves in the study of the visual presentation of the data. The data visualization involves in the creation of the data. If you decide they are skewing your data too much, you can exclude them to focus on the otherwise normal patterns.It is multi-discipline equivalent to visual communication. They indicate some anomaly in the data, like a data error, or they indicate examples where the normal pattern breaks down for a good reason, and understanding why can lead to major new insights. They are definitely worth investigating, and can often be the most useful pieces of data in your set. These are points that don’t follow the rest of the distribution. The points at the very end represent outliers, if there are any.
So, the bottom whisker is 1.5x the min of the IQR, and the top whisker is 1.5x the max of the IQR. The whiskers typically represent 1.5 times the min or max of the shaded Tableau box, or interquartile range (IQR). The top 25% is above the shaded Tableau box.
The bottom 25% of the data is below the shaded Tableau box. This shaded area is known as the Interquartile Range. The shaded area on each set of dots contains the middle 50% of all the data. The line in the middle of the shaded Tableau box, or the dividing point between the two colors, is the median or midpoint of all the data values in the range. The 22 year old making $15,000 probably didn’t go to college and is working more of a minimum wage type job.
The $100k per year 22 year old might be a data scientist, fresh out of school with a dual major in statistics and business. We can see that the average salary is just shy of $40,000, but that we have some outliers at $100,000 and $15,000. In the chart above, we can see the distribution of salaries of people in their 20’s (the first column in the chart). They show ranges of data, or distributions, across one or multiple segments. Tableau box plots are a simple way of accomplishing that.
But, what if we want to see salary ranges per age range? That becomes a much harder problem to visualize. If we wanted to stratify salary ranges, we could take the same approach. We could use a histogram or bar chart to show how many people fall into each of the age buckets. Let’s say we wanted to see the breakout of ages for our employees. It allows you to compare a range of values across several segments.
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