Summary

Process

FAQs

• What do you mean by rigorous adherence to the best practice in cluster analysis?

  It involves meticulous data preparation, sophisticated handling of missing values and outliers, checking statistical assumptions, and selecting appropriate tests. Additionally, it includes comprehensive reporting of findings, performing cross-validation and sensitivity analysis to ensure robustness and validity of statistical conclusions, as well as transparent documentation of the procedure.

• What do you mean by most advanced clustering techniques?

  The techniques that extend beyond common parametric and non-parametric methods, such as K-means clustering and hierarchical clustering. They include robust clustering, density-based spatial clustering of applications with noise (DBSCAN), ordering points to identify the clustering structure (OPTICS), Gaussian mixture modeling, fuzzy clustering, spectral clustering, etc.

• What if my project requirements do not exactly match the offered service?

  I am flexible, so feel welcome to message me and we can discuss the specific requirements of your project.

• Do I need to provide my own data?

  Typically, it is assumed that you will provide the dataset you want analyzed. However, if the project requires it, I can assist with obtaining data through web scraping or other methods to gather data from specific sources.

• Do you offer support with the data collection?

  Yes, I can assist with data collection. This includes providing suggestions and feedback on methods such as survey design, statistical power analysis, and overall research design to ensure that your data collection is effective and appropriate for your analysis needs.

• How will my data be handled in terms of confidentiality and data security?

  I am committed to data ethics and understand the importance of protecting sensitive information. Your data will be used solely for the purpose of completing your requested analysis. It will not be shared with any third parties and will be deleted upon completion of the task.

• Am I required to list specific hypotheses?

  Not necessarily. If you have specific hypotheses, they can help guide the analysis. However, if you only have general aims or need specific insights without defined hypotheses, that's fine too. Just let me know what you want to achieve or find in the dataset, and I will adjust the analysis accordingly.

• Which tools do you use in the analysis?

  For advanced statistical analysis, R is my primary tool due to its comprehensive coverage of various techniques and versatility. However, I am also proficient in other software and can adapt to use the most suitable tool if specific techniques are better supported elsewhere or if you prefer the analysis to be done using other tools.