Working with a map in SSRS and I need a conditional statement that will change the background color for the three counties with the highest client count.
Keep in mind that these totals vary across 39 counties, 10 different races and date span of 12 months. The values fluctuate from one race to another. For example, Hispanic Native Americans = 350 for the entire state compared to White's total over 1,000,000 across the state.
Thanks
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I have a large database composed of observations of icebergs. Successive observations of the same iceberg, or observations of pieces that have broken away from the main iceberg, are connected using unique identifiers of each iceberg ("inst") and the preceding observation of that iceberg ("motherinst").
I need to isolate the branches of the iceberg "tree". I need to isolate the branch that follows the iceberg with the largest surface area. If a smaller iceberg breaks away, I need to start following that iceberg too.
Using igraph, I currently have the surface area ("area") assigned as a vertices attribute, but I suspect that this will need to be re-assigned as an edge attribute to weight the edges.
Here is a sample from the database that, with the code here, I have used to produce the plot (below).
g10 <- graph_from_data_frame(edgelist_df)
V(g10)$area=round(edgelist_df$area, digits = 1)[match(V(g10)$name, edgelist_df$inst)]
par(mar=c(0,0,0,0))
plot(g10, vertex.label = V(g10)$area)
In this example plot, the vertices are labelled with the size of each iceberg. Each branch that I am trying to isolate is circled. The red indicates the original icebergs. The blue indicates icebergs that have broken away. The green indicates icebergs that have broken away again. I need to isolate all of these branches]
Thank you for your help!
I have results from a survey of nurse practitioners asking to what degree (Likert scale, values from 1-5) they feel certain barriers prevent them from adequate practice (i.e. time constraint, location restrictions, etc.). They were also asked to locate where in the state they practice (fill in a bubble). I was wondering if there was a way to code a picture of a U.S. state (say Texas) and superimpose the survey results onto the map by region?
For example: Say one nurse indicated a 1 for feeling time constrained, and she was from the Southern region of Texas. Then, I wold like to show that, out of say a sample of 100, that 1% who responded with a value of 1 came from the Southern region, and have that appear on a map of Texas. Does that make sense?
I have successfully installed 3 weight cells to Particle Photon, using HX711. The fourth weight cell shows large negative values e.g.-69798 when a certain amount of weight is added. The weight cell should be able to measure up to 10kg, as do the other three weight cells.
Is there a possible explanation for this outcome? When lowering the weight (on all four weight cells), which are connected to a single plate, the values look good. When adding about 3-4kg on the plate, the three weight cells shows good values while the fourth shows large negative values.
Simple solution. Just turn the load cell by 180 degree in vertical axis. Sometimes the manufacturer puts the sticker other way around.
This should solve.
GitHub provides default identicons as the profile picture. You can get one for your account too, like this.
There are many other implementations on GitHub, using the similar way and producing similar results.
In their implementation they choose to color some of the 25 tiles and then use one color to fill for all the non-blank tiles. Let's assume that they use a total of 20 colors to fill the tiles, they don't use this much colors, though.
This way, the maximum possible identicon count seems to be 20 x 215 only, as they reflect the identicon with the vertical axis and use only 15 tiles to generate an identicon.
Now, 20 x 215 = 655360 is a very low number compared to total number of users on GitHub.
So my question is that, is there a definite collision situation in this case or am I missing something?
In the agenda day+week view there are two separate tables for days and slots.
The days table essentially has a blank left column, x number of full height columns for each of the days with the date at the top (in a <thead> tag), and finally a right gutter with the scrollbar.
The slots table has y rows for each time slot (obviously a dynamically calculated number of rows). They have two cells per row. One for the time (12am) and one full-width cell that is only used afaik to display alternating dotted/solid horizontal borders.
My question (to the devs hopefully) is why did you make this choice, when compared to one table that contains x columns and y rows? Do you have plans to consolidate it into one table?
The reason I'm asking is because I am forking the code now to make it so that individual days+time slots are addressable (i.e. set the bgcolor on 8-10am on nov 12th to be red ... or disallow events to be dropped there).