WEEK 3 ASSIGNMENT:
M2.1 Engage: Graphs
Thinking about the video you just watched, create 3 different data sets with data of your choosing. You may wish to poll individuals on a topic related to the video or gather data associated with your research that is related to the video. Place the data in the appropriate graph.
Discuss how the graph you created visually communicates your data sets. Why did you select it?
The videos have been downloaded in .pdf format. Please see attached document to access works titled IND503 M2.1 Data Visualization.
Can You See It?
Charts and Graphing
When a set of data is in table form, sometimes it can be challenging for a researcher to fully grasp relative scale, how parts of a whole relate, or how metrics change over time. Data visualization is a way to graphically represent a data set to help compare values, show the composition of segmented whole, understand the distribution of values, or to analyze trends over time. Video Understanding Statistical Graphs and When to Use Them Time: 6:05 mins Closed Captioned Different types of charts can be used for several of these purposes. Here are some examples of ways that you might try to use charts to present their data. Stacked Column Graphs To show how the elements of a data set contribute to the whole, you could use a stacked column graph. This type of graph allows us to make easy comparisons for categories of variables. As you can see, the demand for televisions per month is less than phones, which is less than laptops , according to the dollar sales amount on the Y axis. .
The stacked columns also allow us to see trends per month in the demand for each technology item, and how the demand for each product varies together across time.
This helps the interpreter understand whether performance of each element is powerful enough to impact the total.
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If the you are trying to compare values to show relative size, you might use a bar graph. In the sample graph, it’s easy to see which digital marketing program has the most impact.
Bars represent each digital program listed on the y-axis and the revenue generated by each program on the x-axis. Display ads, organic searches, paid searches and email all generate less than $400,000. Direct marketing, however, exceeds $800,000. This information is easily gleaned from the graphical presentation.
s true no matter what.”
If trying to understand the distribution of values, a scatter plot graph can be used with one value on the vertical axis and another on the horizontal. As you can tell from the scatterplot displayed, there is an upward trend in the amount of revenue collected for this particular company (Axis Y), and the scores on the customer survey (Axis X).
As the scores on the customer survey increase, so does the revenue for the company. This is a positive correlation that is illustrated nicely with a scatterplot.
You can usually also fit a trendline to the graph to show the overall relationship.
“The interesting thing about objective truth
is that it is true no matter what.” Line Chart A simple line chart is one way to show how a metric is trending over time. The displayed line graph shows a percentage of markdown of an item (Axis Y) per month (Axis X). We can clearly see that markdowns decreased from under 25% to a low of under 10% in April, and then rose again to over 15% in June.
Line charts are excellent ways to depict changes over time in a quick glance to look for trends.
The interpreter can quickly see the peaks and valleys of performance.
Video Analyzing and Commenting on Graphical Output Using OSEM Time: 7:13 mins Closed Captioned Video Excel Charts & Graphs: Learn the Basics for a Quick Start Time: 14:09 mins Auto-Generated Closed Captioned
- IND 503 M2.1 Data Visualization
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