I created a dataset in Google Vertex AI that contains numerous features and after clicking on "Generate Statistics" inside the dataset, I can see some basic stats about each feature, and when I click on each feature a pie chart of % distribution of each value and a histogram show up.
Here is my question. For one of my numerical features, I have lots of zeros, specifically 652 zeros and my whole dataset contains 81K distinct values of that feature. The pie chart shows me that my dataset contains %83 percent zero values.
How is it possible? When I calculate the percentages I get that the dataset has only %0.80 percent zeros. (652/81K)*100=0.80%
Is it a reporting problem, a formatting problem? Has anyone had any issues with the stats in Vertex AI datasets?
Note: I don't have such problems with my other numerical features, I have the problem with only one feature containing a large number of zeros.
I'm wondering if there's a tool/workaround to show min/max values on scalar plots in TensorBoard.
A pretty common scenario considers zooming in and finding the optimal point manually for each series, as it is not necessarily the last one.
For example, it is epoch 22 with IoU=75.08 (the maximum value) for the grey series below.
I'd like to have these numbers displayed somewhere (for example in the tooltip or in the chart) or at least a marker in the optimal point.
I've found an open ticket relating to this issue, but it seems that it is still not resolved.
Maybe someone is aware of some sort of a frontend script/plugin extracting these values? Preferably for Safari or Chrome.
I developed the few Line charts for BMP280 sensor data in powerbi. This is one of the line chart for displaying the temperature value by time and device id.
But I want same line chart with different Color like this below image, whenever temperature value suddenly changes.
Can you please tell me is it possible to develop the Line chart with multiple colors?
If you're willing to consider a vertical bar chart instead of a line chart, you would be able to create a calculation for each row that determines whether the change is significant, potentially by comparing an aggregate of recent measurements to specific thresholds.
Once you do that, you would use this column's value as a legend for your visualization. So if a row has a value of "Significant Positive Change" (or something like that), the bar or bars showing that change can be red.
Your other alternative is to use an R-based visual, of which there are surely examples of this type of visualization. I'll update this answer if I find one that looks promising.
Instead of tending 1 data series, you can split it into 2 data series e.g. one with normal temperatures and one with high temperatures. Then you can just plot these in different colours. Just make sure that the ranges are same i.e. cannot be 'Auto'.
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)