Data Investigator provides professional data cleaning and data preparation services to help ensure that datasets are accurate, consistent and ready for statistical analysis. Our services support academic research, medical and public health research, market research, government research, and business and organisational data, including Independent Study (IS), Thesis and Dissertation projects. We can assist with identifying data errors, missing data, out-of-range values, inconsistencies between variables and data distribution issues, depending on the nature and objectives of each project. Our team has more than 15 years of experience in statistical data analysis and provides services in both Thai and English. A free initial consultation and quotation are available. (Click here to contact us via LINE.)

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What is Data Cleaning?

• Data cleaning is the process of reviewing and preparing a dataset before analysis to identify errors, incomplete information and inconsistencies that may have occurred during data collection, data entry or data preparation. Common issues may include missing data, incorrect entries, out-of-range values, duplicate records and inconsistencies between variables. Appropriate data cleaning helps prepare a dataset for subsequent statistical analysis and allows researchers to better understand the quality and limitations of their data.

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What Does Our Data Cleaning Service Cover?

• Data Errors: identifying potential errors arising from data entry or recording

• Missing Data: identifying incomplete or missing observations

• Out-of-Range Values: checking values that fall outside expected or predefined ranges

• Duplicate Data: identifying duplicate records or observations

• Data Consistency: checking consistency across related variables

• Data Coding: reviewing variable and response coding

• Data Distribution: examining data distributions where appropriate

• Potential Outliers: identifying observations that differ substantially from the majority of the dataset

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Why Check Your Data Before Statistical Analysis?

• The reliability of statistical results depends in part on the quality of the data being analysed. Missing observations, incorrect values, inconsistent coding or other data issues can affect statistical results and their interpretation. Reviewing and preparing the dataset before analysis can help identify potential problems and provide researchers with a clearer understanding of the characteristics and limitations of their data.

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Data Cleaning for Research and Business:

• Our data cleaning and preparation services support a wide range of projects, including academic research, Independent Study (IS), Thesis and Dissertation projects, medical and public health research, market research, government research, and business and organisational data. The scope of the data review is determined according to the characteristics of the dataset and the objectives of each project.

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Our Data Cleaning and Preparation Process:

• Review the Dataset: Understand the variables, data structure and intended purpose of the analysis.

• Check Data Completeness: Identify missing data, data errors and other potential issues within the dataset.

• Review Accuracy and Consistency: Check out-of-range values, duplicate records, data coding and consistency across variables.

• Identify Potential Outliers: Review unusual observations and data distributions where appropriate.

• Prepare the Dataset for Analysis: Organise and prepare the dataset for the subsequent statistical analysis process.

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From Data Preparation to Statistical Analysis:

• Once your dataset has been reviewed and prepared, Data Investigator can also provide SPSS statistical data analysis and consulting services. Our team can assist with the selection of appropriate statistical methods, data analysis and interpretation of results according to the objectives of your research or project.