I have a questionnaire and I want to have 8 photos randomised in 8 different questions so participants see a different photograph to one another with the question. Does anyone know how I can do this and can help? Many thanks
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I am trying to find a way to display individual results of a questionnaire after the survey to the participants. I have looked at stackexchange and googled quite a bit but it seems that I am not formulating my question correctly, as I have not found any helpful information.
Could anybody here point me to the right direction on how to figure this out?
Thank you so much,
Noemi
I tried to find information on how to even start doing this, but was not successful so far. I am probably not using the correct keywords to search. Any hints on that would already be amazing!
I have a three question quiz. I'd like the respondents to only be able to reach the End Of Survey only if all three questions are correct.
I am stuck at this point. There doesn't seem to be a way of "going back to the first question". Am I taking the wrong approach here?
I have two datasets. One with details of contracts and other with details of organizations. For eg: One dataset has details- Company name, description, company type. Other datasets has details- Contract name, Contract description, CPV code.
I want an algorithm that can 1) given a company can we find the top 10 contracts that are most closely related or potentially interesting to this company.
2. Or given a contract can we find the companies most likely to bid or win the contract.
This might be a one off, real time algorithm to match one row of the first dataset to a best match cluster in the second dataset.
Is it possible to do this type of row by row cross matching in two different datasets? Is it possible to use text descriptions for this kind of matching?
It would be of great help if someone has code examples. Thank you.
I am also attaching example datasets here.
Company data
Contract data
Your question is effectively "Will someone do ~10K worth of data science for me for free?" What you are looking for is a recommender system and what seems more specifically to be a content based filtering system. In order for these to work, you are going to have to look at your two datasets and develop features that can be used to quantitatively describe the contracts and the clients. If you have information about previous contracts the organizations were interested in you can use a hybrid algorithm that incorporates aspects of collaborative filtering.
R has a package recommenderlab that can help you to work on these types of problems. I haven't used it, but skimming over it, it seems to be solid. If you are wanting something a little more plug and play though with fewer options, I would recommend checking out AzureML. It uses GUI interfaces to help guide users through the data science process including a recommender tutorial. You may also be able to use some of their text classifier tutorial to help engineer features from your fields containing free form text.
Best of luck.
I am a little confused on the multiple value entity.Please help me to clarify it.
I have a example like this :
There are many categories of artworks based on their ‘true type’. There are three main types: (i) painting; (ii) sculpture; (iii) statue. Any artworks that cannot be classified in these three main types will be identified as ‘other’.
So, can I group 3 main type "painting","sculpture","statue" by entity "Type" ? if they are in 1 group, how about type "other" ?
If i have to divide these types in many entities ? can some on please tell me the solution.
Much appreciate for your reply
In the Extended ER (EER) model, the terms specialization/generalization are the buzzwords that the describe the relationships between subtypes and supertypes. There are specific diagramming conventions for diagramming these kinds of relationships in EER diagrams.
Knowing how to diagram them isn't the same thing as knowing how to design tables to fit this kind of situation. You may want to look into single-table-inheritance and class-table-inheritance to see a couple of techniques that may apply to your case.
Ok this question is not exactly technical but very pertinent and current.
If you may have not heard Eureqa (http://creativemachines.cornell.edu/eureqa) is a machine learning (?) based tool that helps you find hidden equations and mathematical relationships within the data. It does sound futuristic and experimental and to a great degree it seems it is.
This is the relevant talk by Eureqa inventor Hod Lipson
http://www.youtube.com/watch?v=Xja6sLl6dVg entitled Mining experimental data.
So i believe this can become popular amongst many R users .
On the official site one can obtain Eureqa clients for MATLAB, Mathematica, Python etc but none so far for R.
So this question is just what it is , is anyone of you working on creating one...or if you know this project do you know what it will take to make one ?
I asked the same question on the Eureqa group a few months ago. Here's the link:
http://groups.google.com/group/eureqa-group/browse_thread/thread/cb251327b50dbd4f
The last entry has the following links:
http://r.eureqa.ivi.eu.com/
http://groups.google.com/group/eureqa-r
I haven't tried this, so I don't know if it works. If you try it, please post your results.