I would like to built a chart like the attached image below.
someone please help me how to achieve it. My data will be like this.
Date Tenant Jobs
2014-12-01 13 2827
2014-12-01 32 397
2014-12-01 82 85
2014-12-01 83 32
2014-12-01 86 939
I already tried the link [url]http://www.highcharts.com/demo/column-stacked[/url]. But not sure how to pass the values dynamically. The Dates and tenant will be dynamic.
Related
I have a plotted spectral curve in google sheets. All points are real coordinates. As you can see, data is not provided for the slope below 614nm. I would like to extend the slope beyond the supplied data, so that it reaches 0. In a mathematically relevant way to follow the trajectory it was taking from when the slope started. Someone mentioned to me I would have to potentially use a linear regression? I'm not sure what that is. How would I go about extending this slope relevant to it's defined trajectory down to 0 in google sheets?
Here's the data
x-axis:
614
616
618
620
622
624
626
628
630
632
634
636
638
640
642
644
646
648
650
652
654
656
658
660
662
664
666
668
670
672
674
676
678
680
682
684
686
688
690
692
694
696
698
700
702
704
706
708
710
712
714
716
718
720
722
724
726
728
730
y-axis:
0.7101
0.7863
0.8623
0.9345
1.0029
1.069
1.1317
1.1898
1.2424
1.289
1.3303
1.3667
1.3985
1.4261
1.4499
1.47
1.4867
1.5005
1.5118
1.5206
1.5273
1.532
1.5348
1.5359
1.5355
1.5336
1.5305
1.5263
1.5212
1.5151
1.5079
1.4994
1.4892
1.4771
1.4631
1.448
1.4332
1.4197
1.4088
1.4015
1.3965
1.3926
1.388
1.3813
1.3714
1.359
1.345
1.3305
1.3163
1.303
1.2904
1.2781
1.2656
1.2526
1.2387
1.2242
1.2091
1.1937
1.1782
Thanks
I understand that you want The curve should be increased beyond the given data in a mathematically sound fashion until it approaches 0, In what follows, I'm going to show how it's done with the last 2 data points which make the filled data linear it might help, like this: take a look at this Sheet.
We need to
1 - Paste this SEQUENCE function formula in C3 to get the order of input
=SEQUENCE(COUNTA(B3:B),1,1,1)
2 - SORT the the input by pasting this formula in E3.
=SORT(A3:C61,3,0)
3 - In F62 after the last line of the sorted data paste this TREND function that Fits an ideal linear trend using the least squares approach to incomplete data about a linear trend and/or makes additional value predictions..
=TREND(F60:F61,E60:E61,E62:E101)
TREND takes
'known_data_y' set to F60:F61
'[known_data_x]' set to E61,E62 those are the 2 data point
[known_data_x] set to E62:E101, we get it by pasting E62:E101 after the last line of the sorted data in "x-axis:" in output table cell E62
4 - To see the newly genrated data in the red curve we need a new column that start from K62 till the very bottom of the data "y-axis:" in output table cell K62, by pasting this ArrayFormula in K62.
=ArrayFormula(E62:G101)
5 - Add a Serie in tne chart in chart editor > setup > Series > Add Serie.
I just now started with influx, Need help to get the data sorted by timestamp and the latest data by it.
select DB,AREA,sptotal,spfree,pctfree from ORA_SIZE GROUP BY DB order by time ;
name: ORA_SIZE
tags: DB=DB43B
time DB AREA sptotal spfree pctfree
---- -- ---- ------- ------ -------
1587919100011225116 DB43B DATA 442 303 68
1587919100011225116 DB43B SYSTEM 40 35 87
1587919088732608975 DB43B DATA 442 303 68
1587919088732608975 DB43B SYSTEM 40 35 87
Here, I want to retrieve only
1587919088732608975 DB43B DATA 442 303 68
1587919088732608975 DB43B SYSTEM 40 35 87
as they are the latest data based on time,
is there any query for this? Please advise.
Thanks,
You can use the Last Function to get the latest value of any field.
Example :
SELECT LAST(DB,AREA,sptotal,spfree,pctfree) FROM ORA_SIZE [WHERE_clause] [GROUP_BY_clause]
This query should return your desired data.
You can find the documentation here
I have a list of sporting matches by time with result and margin. I want Tableau to keep a running count of number of matches since the last x (say, since the last draw - where margin = 0).
This will mean that on every record, the running count will increase by one unless that match is a draw, in which case it will drop back to zero.
I have not found a method of achieving this. The only way I can see to restart counts is via dates (e.g. a new year).
As an aside, I can easily achieve this by creating a running count tally OUTSIDE of Tableau.
The interesting thing is that Tableau then doesn't quite deal with this well with more than one result on the same day.
For example, if the structure is:
GameID Date Margin Running count
...
48 01-01-15 54 122
49 08-01-15 12 123
50 08-01-15 0 124
51 08-01-15 17 0
52 08-01-15 23 1
53 15-01-15 9 2
...
Then when trying to plot running count against date, Tableau rearranges the data to show:
GameID Date Margin Running count
...
48 01-01-15 54 122
51 08-01-15 17 0
52 08-01-15 23 1
49 08-01-15 12 123
50 08-01-15 0 124
53 15-01-15 9 2
...
I assume it is doing this because by default it sorts the running count data in ascending order when dates are identical.
Just looking for some brief advice to put me back on the right track. I have been working on a solution to a problem where I have a very sparse input matrix (~25% of information filled, rest is 0's) stored in a sparse.coo_matrix:
sparse_matrix = sparse.coo_matrix((value, (rater, blurb))).toarray()
After some work on building this array from my data set and messing around with some other options, I currently have my NMF model fitter function defined as follows:
def nmf_model(matrix):
model = NMF(init='nndsvd', random_state=0)
W = model.fit_transform(matrix);
H = model.components_;
result = np.dot(W,H)
return result
Now, the issue is my output doesn't seem to be accounting for the 0 values correctly. Any value that was a 0 gets bumped to some value less than 1 and my known values fluctuate from the actual quite a bit (All data are ratings between 1 and 10). Can anyone spot what I am doing wrong? From the documentation for scikit, I assumed using the nndsvd initialization would help account for the empty values correct. Sample output:
#Row / Column / New Value
35 18 6.50746917334 #Actual Value is 6
35 19 0.580996641675 #Here down are all "estimates" of my function
35 20 1.26498699492
35 21 0.00194119935464
35 22 0.559623469753
35 23 0.109736902936
35 24 0.181657421405
35 25 0.0137801897011
35 26 0.251979684515
35 27 0.613055371646
35 28 6.17494590041 #Actual values is 5.5
Appreciate any advice any more experienced ML coders can offer!
Here is a sample of my CSV
10820 0 0 0 0
10900 2 4 4 4
11000 21 50 54 58
11100 23 54 59 63
11200 25 59 63 68
11300 27 63 68 73
11400 29 68 73 78
11500 31 72 78 83
11600 32 76 82 88
11700 34 81 87 93
I'm looking to create to use xcode to retreive one line of code from this very lengthy CSV based on the first line.
For example:
if the user enters "10900", the second line columns will be returned.
If the user returns 11650, the 11600 line columns will be returned...always taking the lower line when the input value is less then the following line.
Any help would be appreciated. I've seen code to parse an entire CSV file, but I'm thinking this may be a big memory drain, right now my CSV has 2000 lines of values, which are all in ascending order based on the first column.
You have to load a file into memory anyways to find correct value.
With such a big CSV file I would recommend to turn CSV file into binary file (plist file for example) and put it as binary into your application - instead of parsing it each time in RunTime. It has much better performance and it's easier to work with that since you are working directly with NSDictonaries an NSArrays.
If you don't want to do it for some reason, the next solution is to use something like CHCSVParser:
https://github.com/davedelong/CHCSVParser
It provides optimization for loading only part of file at a time - which is the optimization you might be looking for.