correlation measures between multi categorical variables and continuous variables - data-science

I have dataset that targetenter image description here has 6 type (0,1,2,3,4,5,6) . Do I need to dummy target column in to six column to find correlation between target and input?

You could try one hot encoding, as in here and create a dummy variable for each category of your 7.

Related

SSRS Chart Data - Filtering options for Values?

I'm currently running Visual Studio 2010 for reporting for pharmaceutical batch production. The system creates archive data table with the following fields:
-VARIABLE, which is the name of the variable,
-TIMESTAMP, the time when the value of the variable was recorded,
-VALUE, the actual value of the variable at a specific timestamp,
and so on.
The dataset I'm concerned with contains 3 variables: Level, BatchTimer, and BatchID.
Goal: What I want to achieve is to have Level as the Y value, BatchTimer as the X-axis(Category Group), and BatchID as the Series Group. Therefore I tried putting the VALUE field for all three regions, and adding filter options for the Category Group and the Series Group. Here are the filter options I added:
Filter Option for Category Group
Filter Option for Series Group
The problem now was filtering the Y value so that it only has field VALUE of Variable Level. I then assumed I needed to add a filtering expression to the value region of the chart data, which I don't know how to.
So my question is:
Is this the correct way to approach my goal?
If so, how would I go about filtering the Y value so that it only shows a certain variable in a dataset(in my case, Level)?
Thank you in advance!
If I understand your problem statement correctly, Your end goal is to filter out Level values, i.e For Example Level has values 1,2,3..10 but you want your Level values to be let's say only 3.
So return all data where level is 3. Once you have this datset, you are already able to add BatchTimer as the X-axis(Category Group), and BatchID as the Series Group.
You need a Parameter of a Filter in your dataset something like below.
Now above way is static for Level=3.
How do we make it dynamics
We create a Parameter and ask user to give level. Then depending on this parameter value we filter dataset as below ( this should be added to dataset query)
level field Operator: = and value of the parameter
(Parameters.level.Value)

Range filter on a dimension in SAP Analytics Cloud

I need to create a range filter in SAC and to create range filter in SAC, column should either be date or number type.
I wanted to create a range filter on a Dimension but in SAC dimension is automatically converted into Text.
I am using excel to upload my data, I formatted the data in excel and made that dimension as number in it but once I upload the file in SAC that dimension automatically gets converted to Text.
I there any solution to this use case?
You can try to create Measure based dimensions and give it a try. Since SAC will accepts measure as numeric. I hope this may help you.

Get segments from a Message Hl7

I want to retrieve data from each segment DG1 or OBX from hl7 message, by using pentaho data-integration, in other term, how can i use hl7 input step in kettle to extract data from all repeated segments as DG1, PV1, OBX.
In order to extract a specific HL7 segment from your input, take a look at the following output fields of the HL7 Input step:
StructureName: Yields the ID of the segment.
FieldName: Description of the field according to HL7.
Coordinates: Level within each segment.
To tell repeated segments apart, you have to concatenate StructureName and Coordinates. This can be accomplished by the Calculator step. Afterwards the fields in question need to be extracted. Use the Row denormaliser step which looks up key-value pairs and assigns them to new fields in the output rows.
Let HL7ID be the new field of the Calculator step which adds A and B, where A is StructureName and B is Coordinates. Within the Row denormaliser step, HL7ID will be be key field. Enter your desired segments into be the Key value, according to the concatenated value scheme, while the Value fieldname column must be assigend to contain the data, i.e. the Value output field. Also, the input and output hops of HL7 Input are to copy the data, no round robin.

Extract values from raster ArcGIS 10.x

I just got a vegetation raster. Its pixels have several fields (i.e. basal area oaks, density of oaks, volume of oaks, pixel value, etc). How do I extract only selected field values to a set of XY points?
The primary tool that you'll be working with is Raster to Point (Conversion toolbox). It includes a parameter to pick which field to pull data from:
The Field parameter allows you to choose which attribute field of the input raster dataset will become an attribute in the output feature class. If a field is not specified, the cell values of the input raster (the VALUE field) will become a column with the heading Grid_code in the attribute table of the output feature class.
If you want to exclude certain values or subset the data, that can be done either before converting (using Con or similar) or after (select by attribute and export or delete). Doing it afterwards gives you a bit more flexibility, but leads to larger point datasets.

Combining data from different columns into a line graph with SSRS

Hi I am new to SSRS and I am trying to create a line graph from the following dataset that has a single line and I am confused with how to achieve this simple task.
column1|column2|column3
1,11,35
If I try and add column 1-3 as values it will show nothing because it is trying to do a separate line per column.
I have tried making a temp table in sql and reformatting it as follows:
values
1
11
35
This works however this causes me to lose the axis names for each value.
How can I achieve a single line in my line graph as well as keeping the axis names?
You're correct in that you need separate rows (i.e. pivoting your data) to meet your chart requirements.
You can need to add another column to your new Dataset to have group names, too:
Just example names, obviously.
In your chart, add the Series and Category as required:
Now you have labels on the axis: