Have taken a data table and turned it into a, “Bumps Chart”. Like the data table, the Bumps Chart does not show magnitude; it shows just, “first”, “second”, “third”, etc.
Not visible is the metric being charted, which turned out to be the rate per item-byte.
Regarding yesterday’s CotP, an astute reader asked why there was such a focus on the illusory, central-tendency, “Arithmetic Mean Average” but not on the, “Standard Deviation”. Thought that was a good callout since will generally want to look at both types (a central-tendency type and a dispersion type). As such, Chart Four has been altered (the previous CotP remains unaltered).
Seeing data in its different information forms and states.
Web performance data sets five and six are actual; the other are illustrative.
I’ve taken the two-dimension CDF, “Hockey Stick” chart and flattened it into a one-dimension strip. The other aspect regarding the X axes is they are normalized so we may compare variables of different type and magnitude.
We then take this example visual and put into a report (download here). If you want this report generated for your home page, feel free to contact me @LvasiLiou , or using the contact info in slide 2 of the report.
Data from the top 100’ish Internet Retailer default Home Page loads. Is there correlation between the #Requests and Webpage Response times?
Special note, the X axis in the two charts are not normalized.
Download excel chart data https://drive.google.com/file/d/0B9n5Sarv4oonUkNDUFE3R1AtUFU/view?usp=sharing
Use a multi-width column (or bar) chart to show change between two data (e.g. performance of a page load with an empty browser cache versus performance of a page load with a primed browser cache).
Download Excel file here.
Credit and thanks to Jon Peltier for writing how to do this in Excel.
Using a Slopegraph to show change. In this case, are showing the Page Load Times (in milliseconds) of an, “Empty Browser Cache” versus a, “Primed Browser Cache”. Note the faster times are toward the top of the Y axis.
“By the Day” versus “By the Hour”
Data becomes Information. The same Data can become different Information.