RDLC report Line chart - rdlc

when two series intersect, the lines are not getting plotted. In the below the red marked data points belong to one series but since a data point from "Actual rating" series is intersecting the line is not plotted. similarly, the green marked data points belong to "Rating" series. But since a data point from Actual rating is intersecting the line is not plotted. How to solve this?

Related

Plot all point and line as mean of all observation over time

I would like to use ggplot that can show all observations (all points) and a line (mean of all observation) over multiple times points post treatment for two groups (treated and untreated) with differnt colors between groups. I have attached my example data set and a sample graph from previous publication

Optimal display for overlapping series in a line chart

In a context of a line chart displaying time data in regular intervals where multiple series might overlap what would be the optimal way to:
A) hint the user that the chart has overlapping series?
B) give the user the capability to visualize all those series? Like spanning the series somehow?
For overlapping series in a line chart, I would keep the traditional line chart but put a label at the end of the graph with a color legend. The legend and label will help the user get information quickly.
Another version of a line chart for overlapping series can be a line area chat.
If you are not stuck on only line charts, I would suggest a bar chart. Below are some examples that you can use.
Example 1:
Example 2:
Example 3:
There are couple ways to indicate that there are overlapping series on a chart. You can increase the marker radius of one of them. The number of legend elements tells you how many series there is, too. Finally, you can distribute series on a different yAxis, with different top and height properties. Also, in styled mode, when you hover on legend item, other series opacity changes.
API Reference:
http://api.highcharts.com/highcharts/plotOptions.line.marker.radius
Examples:
http://jsfiddle.net/whsgpdyw/ - changing marker radius
http://jsfiddle.net/fuq6j4sg/ - each series on a different yAxis

2 category axis in Column chart in Webi Reports

Is it possible to have 2 category axis(x -axis) values one with bar and other with line and one measure for both? If possible please let me know how to achieve it.
Thanks
Niki
Multiple Y-axis are possible, but you can only have one X-axis per chart. That said, you can have an X-axis with multiple dimensions on it (e.g. City and State).
Each measure will be plotted (aggregated) according to the dimensions added to the X-axis.
You cannot have different visualisations for the same measure on the same chart (e.g. a column and a line for the same measure), unless you have a chart with 2 Y-axis. Whether this would be a good visualisation of your data is a different matter.

Reportlab LinePlot - how do I add a lineLegend...or label my lines?

I have a lineplot with 2 lines on it...they're two separate channels from the same data set. Would love to just label each one - the "labels" options are all about giving a number for each point on your plot, and that is simply not helpful.
Would love to know how to do any (really, all, but I just need to do one to be happy) of these:
plot each against its own y axis and be able to sensibly label that axis with units (and color the numbers to correspond to the data it correlates to)
put a legend on it. I can't figure out how to use lineLegend
just put any kind of (singular) label in the vicinity of the lines.

Core Plot Graph Label steps

I'm using Core Plot to draw graphs in my app.
I just encountered a problem:
I have dates on the X-Axis and I use a custom labeling policy.
If I only have a few records everything works fine
If I have many records all the labels are near and not useful :-(
So the question is: How can I decide which values display and which not to always have 10 labels, separated one from the other.
Divide the number of points by the number of labels you want and round up. For example, if you have 25 data points and want roughly 10 labels, label every third data point. You'll end up with 9 evenly spaced labels.