I have data for sin curves of differing magnitudes over time and I would like to combine all the curves into a single curve on a chart.
Is it possible to do this with the Google Chart API or can alternative approaches be recommended?
Google's Chart API isn't a graphic calculator. It displays pre-calculated data, not equations. So if you have the results pre-calculated for a series of x-values, then yes, the Chart API can plot it.
(If the number of points is < ~5k, a Google Spreadsheet is probably your fastest route to try it out.)
If you don't have the results already calculated - if you just have the equations - then your problem's more of a maths question than a Chart API question. (But again, a spreadsheet might be a fast way to get going.)
Related
I need to compare Year Month values somehow next to each other.
But the difference is so big that it is not very visually appealing.
I tried to find a good chart to display those, but so far no success.
Any recommendation?
If you want them to share the same axis as you have in your image, you could switch the scale to logarithmic instead of linear. Otherwise, you could try putting them on separate axes so they scale independently.
Another option would be to normalize them somehow. If one set were monthly, then you could multiply it by 12 to "annualize" it.
I want to calculate percent based on count of events. Basically, I want to calculate successful login attempts on a website. Something like below
count(successful_attempts)/count(total_attempts)
successful_attempts and total_attempts are recorded as events in login_attempts column.
How would I achieve this?
There are mainly 2 approaches to your problem.
Compute the percentage yourself:
You can add a calculated field to your analysis or your dataset and use the a similar formula to the one you mentioned.
You might need to use sum rather than count depending on the type of your login_attemps column.
You'll then be able to see that value using a simple KPI chart
Use charts to make the computation:
You could use a gauge chart.
Using the sum of successful attempts as value and sum of attempts as target. The chart will compute the percentages itself.
Donut charts and Pie charts will work in a similar fashion.
Finally, horizontal or vertical stacked 100% bar charts might be another alternative.
I have an image which was shown to groups of people with different domain knowledge of its content. I than recorded gaze fixation data of them watching the image.
I now kind of want to compare the results of the two groups - so what I need to know is, if there is a correlation of the positions of the sampling data between the two groups or not.
I have the original image as well as the fixation coords. Do you have any good idea how to start analyzing the data?
It's more about the idea or the plan so you don't have to be too technical on that one.
Thanks
Simple idea: render all the coordinates on the original image in a 'heat map' like way, one image for each group. You can then visually compare the images for correlation, and you have some nice graphics for in your paper.
There is something like the two-dimensional correlation coefficient. With software like R or Matlab you can do the number crunching for the correlation.
Matlab has a function for this:
Two Dimensional Correlation Function: corr2
Computes two dimensional correlation coefficient between two matrices
and the matrices must be of the same size. r = corr2 (A,B)
In gaze tracking, the most interesting data lies in two areas.
In where all people look, for that you can use the heat map Daan suggests. Make a heat map for all people, and heat maps for separate groups of people.
In when people look there. For that I would recommend you start by making heat maps as above, but for short time intervals starting from the time the picture was first shown. Again, for all people, and for the separate groups you have.
The resulting set of heat-maps, perhaps animated for the ones from the second point, should give you some pointers for further analysis.
Is there a way to display multiple charts on the same image using Google Charts api?
To elaborate:
I have one data series which I want to display as bar chart.
I have another data set which has nothing to do with the first one (well they are correlated but the values are hundred times bigger).
X-axis is for dates.
I want to have second data set displayed as line chart with Y-axis on the left.
I found something similar in "Compound charts" section but as far as I understand markers are calculated based on already displayed data set - and I want to have them independent.
In other words - is it possible to make image like this:
http://chart.apis.google.com/chart?cht=bvg&chm=D,0033FF,1,0,5,1&chs=200x150&chd=t1:30,10,20|60,40,50&chxt=y
but with the line being independent and their values axis being on the right.
I'm sorry I'm not familiar with the terminology - I'm sure there is a name for what I'm trying to achieve.
Thanks!
Only 2 years behind the curve but just to let you know that I have achieved your objective of displaying 2 datasets (one a bar chart, the other a line chart) against 2 different axis scales.
The devil is in the scaling parameter &chds and explicit axis values using &chxr. Essentially, I defined the explicit scales for the x-axis, y-axis and r-axis. and then instructed the scaling parameter to scale each dataset differently.
So for an r dataset between 0 - 10 and a y dataset between 0-2 I would write;
&chds=0,2,0,10 (y then r defined in my axis parameter, i.e. &chxt=y,r)
...and...
&chxr=0,0,2|1,0,10
Let me know if you need more detail!
I've looked into something similar to this before and have used the google chart API a lot. I'm 90% sure the answer is no. Sry :(
Yep it is possible.
Here is an example of two datasets displayed on the same axes. 1 is a bar chart the other is a line graph....
This line - chd=t1:95,1,1,3,10,3,77|95,52,44,24,11,2,1 - allows for the two datasets.
slothistype
Why doesn't this Google Chart API URL render both data sets on this XY scatter plot?
http://chart.apis.google.com/chart?cht=lxy&chd=t:10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180,190,200|0.10,0.23,0.33,0.44,0.56,0.66,0.79,0.90,0.99,1.12,1.22,1.33,1.44,1.56,1.68,1.79,1.90,2.02,2.12,2.22|0.28,0.56,0.85,1.12,1.42,1.68,1.97,2.26,2.54,2.84,3.12,3.40,3.84,4.10,4.53,4.80,5.45,6.02,6.40,6.80&chco=3072F3,ff0000,00aaaa&chls=2,4,1&chs=320x240&chds=0,201,0,7&chm=s,FF0000,0,-1,5|s,0000ff,1,-1,5|s,00aa00,2,-1,5
I've read the documentation over and over again, and I can't figure it out.
First a point of clarification. You talk about a "XY scatter plot", but these are actually 2 distinct chart types in the Google Chart API. Your URL refers to cht=lxy parameter which is an XY line chart.
The first problem with your URL is your data parameter (chd). Since it is an XY line chart, data sets must be defined in pairs but I see an odd number of data sets (3).
Christian D's response is incorrect. There is no percentage requirement.
You may be better off using a wrapper API which abstracts away many of these ugly details.
I think it actually does render both data sets, but you can only se one of them because there's only one scale on the y axis. (In other words, 0.10 is too small to show.)
And, you should really be using percentages. 100 is the highest accepted value:
Where chart data string consists of positive floating point numbers from zero (0.0) to one hundred (100.0)