Statistician competent in XLSTAT
$30-250 USD
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Dear statistician,
Kindly use the attached dataset in the excel datasheet to conduct the Principle Components Analysis (PCA) using the XLSTAT software. Use the data on sheet 2 of the attached excel workbook where the variable labels are indicated on the first row of the excel dataset.
Note: Details of the variables/attributes of the dataset are contained in the HTML document in the attached zip file.
Please make sure that you follow all the steps outlined on the xlstat website on conducting PCA shown on the link below:
[url removed, login to view]
While conducting the data analysis make sure that you do the following:
You will need to clean the data, so that it contains only numerical features (dimensions) and the features are space-separated (not comma-separated.
To make the plots informative, you should come up with a labelling scheme for data points.
If the data can be classified into several classes (find out in the data and feature description!), use that information as the basis for your labelling scheme. In that case exclude the class information from the data dimensions.
Alternatively, you can make labels out of any dimension, e.g. by quantising it into several intervals. For example, if the data dimension represents age of a person, you can quantise it into 5 labels (classes) [child, teenager, young adult, middle age, old].
Associate the data labels with different markers and use the markers to show what kind of data points get projected to different regions of the visualization plot (computer screen).
Moreover, as you make comments on the outputs of the data analysis ensure that you concentrate on the following aspects:
- How did you preprocess the data?
- What features (coordinates) did you use for labeling the projected points with different markers?
- How did you design the labeling schemes?
- What visualisation techniques did you use (e.g. PCA/coordinate projections/SOM)?
- What interesting aspects of the data did you detect based on the data visualisations?
- What interesting aspects of the data did you detect based on eigenvector and eigenvalue analysis of the data covariance matrix?
KINDLY MAKE SURE THAT EACH STEP OF THE ANALYSIS TOGETHER WITH INTERPRETATIONS OF THE OUTPUTS ARE COVERED.
My budget is below USD 50 and I need it done in 24 hours
Proje NO: #5777345
Proje hakkında
Bu iş için 6 freelancer ortalamada $80 teklif veriyor
I have used such small tools before. On the basis of my analysis of your project, I can guarantee you the complete work within the mentioned deadline.
I will do it with perfection. I can send you evidence of my skills, experience and consultancy during discussion and interview. Lets begin the work now. More about me: Top 1% statistical and econometrics consultant on Daha Fazla
I am Data Entry, MS Word and MS Excel Expert. i am very much professional in this work i am pretty sure that you cant find a best person for this job like me so i am ready to work on your project with low rate and high Daha Fazla
I can help you with principle component analysis, I have done it before many times. send me PM, I will help you. Interview me on skype and you will get sureity that I am able to do it.
I will be happy to help. I am Associate Professor in Statistics ... Let us discuss the project in more details and prices can be negotiated. thanks and have a good day
I use XLSTAT For my own data. I can do PCA for you for the data. Also I want you to give me the datails as how you want me to group the data (on basis of what factors). You will know how you want it to be done accordin Daha Fazla
Hello as you see I’m a new freelancer user but it does not mean that i am new or beginner in statistics!! I bid 30$ because i want to have a history and review in freelancer and surely it is an excellent opportunity Daha Fazla
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