{"id":31930,"date":"2023-09-28T04:04:00","date_gmt":"2023-09-28T04:04:00","guid":{"rendered":"https:\/\/www.process.st\/templates\/data-cleaning-checklist\/"},"modified":"2024-03-05T14:16:03","modified_gmt":"2024-03-05T14:16:03","slug":"data-cleaning-checklist","status":"publish","type":"post","link":"https:\/\/www.process.st\/templates\/data-cleaning-checklist\/","title":{"rendered":"Data Cleaning Checklist"},"content":{"rendered":"\n<section id=\"identify-missing-data\"> \n <h2>Identify missing data<\/h2>\n <div class=\"text-content\">\n   In this task, you need to identify any missing data in the dataset. Missing data can negatively impact the accuracy and reliability of your analysis. Pay attention to empty cells, NaN values, or placeholders like 'N\/A' or 'Unknown'. Identify any columns or rows that have missing data and note them down. You can use data exploration techniques, such as summary statistics or visualization, to help identify missing data. Once you have identified the missing data, move on to the next task. \n <\/div> \n <div class=\"multi-select-content form-field-content\"> \n  <div class=\"form-group\"> <label> Missing Data <\/label> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Empty cells \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      NaN values \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Placeholders \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"removal-or-replacement-of-missing-data\"> \n <h2>Removal or replacement of missing data<\/h2>\n <div class=\"text-content\">\n   Now that you have identified the missing data, it's time to decide how to handle it. Missing data can be problematic for analysis and can introduce bias or lead to incorrect conclusions. In this task, you will remove or replace the missing data. Consider the following options: deleting rows or columns with missing data, replacing missing data with mean or median values, or using advanced imputation techniques. Choose the most appropriate method for your dataset and apply it. Make sure to document the changes you make for future reference. \n <\/div> \n <div class=\"select-field-content form-field-content\"> \n  <div class=\"form-group\"> <label> Handling Method <\/label> <select disabled class=\"form-control\"> <option value=\"An option will be selected here\">An option will be selected here<\/option> <\/select> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Delete \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Replace with mean \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Replace with median \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       4 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Imputation \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"validate-the-data-format\"> \n <h2>Validate the data format<\/h2>\n <div class=\"text-content\">\n   In this task, you need to validate the data format. It is important to ensure that the data is in the correct format for further analysis. Check if the data types of each column are appropriate and consistent with the data they contain. For example, numerical data should be stored as numbers and not as text. Date data should be formatted correctly. Identify any inconsistencies or errors in the data format and make the necessary adjustments. You can use data validation functions or custom scripts to automate this process. \n <\/div> \n <div class=\"multi-select-content form-field-content\"> \n  <div class=\"form-group\"> <label> Data Format <\/label> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Numerical data \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Text data \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Date data \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       4 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Categorical data \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"check-for-duplicated-data\"> \n <h2>Check for duplicated data<\/h2>\n <div class=\"text-content\">\n   Duplicated data can distort analysis results and lead to incorrect conclusions. It's important to identify and handle duplicated data appropriately. In this task, you need to check for duplicated data in the dataset. Look for identical rows or columns and flag them as potential duplicates. Pay attention to all columns or specific key columns that should be unique. Use data deduplication techniques or built-in functions to identify duplicated data. Once you have identified the potential duplicates, move on to the next task. \n <\/div> \n <div class=\"multi-select-content form-field-content\"> \n  <div class=\"form-group\"> <label> Columns for Duplicate Check <\/label> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      All columns \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Key columns \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"removal-of-duplicated-data\"> \n <h2>Removal of duplicated data<\/h2>\n <div class=\"text-content\">\n   Now that you have identified the potential duplicates, it's time to remove them from the dataset. Duplicated data can skew analysis results and lead to incorrect conclusions. In this task, you will remove the duplicated data based on your previous identification. Choose the appropriate method for removing duplicates, such as dropping duplicate rows or merging duplicate entries. Be cautious and double-check before removing any data. Document the changes you make for future reference. \n <\/div> \n <div class=\"select-field-content form-field-content\"> \n  <div class=\"form-group\"> <label> Duplicate Removal Method <\/label> <select disabled class=\"form-control\"> <option value=\"An option will be selected here\">An option will be selected here<\/option> <\/select> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Drop duplicate rows \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Merge duplicates \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"validate-the-data-accuracy\"> \n <h2>Validate the data accuracy<\/h2>\n <div class=\"text-content\">\n   Data accuracy is crucial for any analysis or decision-making process. In this task, you need to validate the accuracy of the data. Compare the data against trusted sources or expert knowledge to identify any discrepancies or outliers. Look for data values that seem unusual or incorrect based on your domain knowledge. Validate the data accuracy by cross-referencing with external sources or performing data consistency checks. Document any discrepancies or issues you find. \n <\/div> \n <div class=\"multi-choice-content form-field-content\"> \n  <div class=\"form-group\"> <label> Data Accuracy Validation <\/label> <select disabled class=\"form-control\"> <option value=\"\">Multiple options can be selected from this list<\/option> <\/select> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Compare against trusted sources \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Cross-reference with external data \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Perform data consistency checks \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       4 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Consult with domain experts \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"check-for-data-uniformity\"> \n <h2>Check for data uniformity<\/h2>\n <div class=\"text-content\">\n   Data uniformity ensures consistency in the format and representation of data. In this task, you need to check for data uniformity in the dataset. Look for variations in units, date formats, or categorization. Identify any inconsistencies and decide on the appropriate standardization method. Consider converting units, reformatting dates, or harmonizing categorical variables. Ensure that the data is uniformly represented to facilitate analysis and interpretation. Document any changes made for future reference. \n <\/div> \n <div class=\"multi-select-content form-field-content\"> \n  <div class=\"form-group\"> <label> Data Uniformity Check <\/label> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Units \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Date formats \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Categorization \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"transform-data-to-a-standard-format\"> \n <h2>Transform data to a standard format<\/h2>\n <div class=\"text-content\">\n   Data transformation is often necessary to achieve a standard format for analysis. In this task, you will transform the data to a standard format. Choose the appropriate methods for data transformation, such as scaling numerical variables, one-hot encoding categorical variables, or applying mathematical functions. Consider the requirements of your analysis and the specific data transformation techniques required. Ensure that the transformed data retains its contextual meaning and integrity. \n <\/div> \n <div class=\"select-field-content form-field-content\"> \n  <div class=\"form-group\"> <label> Data Transformation Method <\/label> <select disabled class=\"form-control\"> <option value=\"An option will be selected here\">An option will be selected here<\/option> <\/select> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Scaling \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      One-hot encoding \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Mathematical functions \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"remove-irrelevant-data-columns\"> \n <h2>Remove irrelevant data columns<\/h2>\n <div class=\"text-content\">\n   Irrelevant data columns can complicate analysis and add noise to the dataset. In this task, you need to identify and remove irrelevant data columns. Consider the relevance of each column to the analysis goals and focus on the most important variables. Identify columns that provide little or no meaningful information and remove them from the dataset. Make sure to document the removed columns and the justification for their removal. \n <\/div> \n <div class=\"multi-select-content form-field-content\"> \n  <div class=\"form-group\"> <label> Irrelevant Data Columns <\/label> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      No meaningful information \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Not relevant to analysis goals \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"validate-data-relevance\"> \n <h2>Validate data relevance<\/h2>\n <div class=\"text-content\">\n   Data relevance is key to ensure that the dataset aligns with the analysis goals. In this task, you need to validate the relevance of the data. Consider the analysis goals and the intended outcomes. Evaluate each variable in the dataset and determine its relevance to the analysis goals. Identify any variables that may need further clarification or context. Document any variables that may require validation or additional information. \n <\/div> \n <div class=\"multi-select-content form-field-content\"> \n  <div class=\"form-group\"> <label> Relevance Assessment <\/label> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Analysis goals \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Intended outcomes \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"detect-and-deal-with-outliers\"> \n <h2>Detect and deal with outliers<\/h2>\n <div class=\"text-content\">\n   Outliers are extreme data points that deviate significantly from the overall data pattern. In this task, you need to detect and deal with outliers in the dataset. Identify any data points that appear to be outliers based on their distance from the mean or other statistical measures. Choose the appropriate method for dealing with outliers, such as removing them, transforming them, or imputing them. Consider the impact of outliers on the analysis results and take appropriate action. \n <\/div> \n <div class=\"select-field-content form-field-content\"> \n  <div class=\"form-group\"> <label> Outlier Handling Method <\/label> <select disabled class=\"form-control\"> <option value=\"An option will be selected here\">An option will be selected here<\/option> <\/select> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Remove \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Transform \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Impute \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"check-for-data-consistency\"> \n <h2>Check for data consistency<\/h2>\n <div class=\"text-content\">\n   Data consistency ensures that the data remains reliable and accurate throughout the dataset. In this task, you need to check for data consistency. Look for any inconsistencies or contradictions in the data. Check if there are any conflicting values or unexpected patterns. Identify and resolve any inconsistencies to ensure the reliability of the data. Consider using automated data consistency checks or cross-referencing with external sources for validation. \n <\/div> \n <div class=\"select-field-content form-field-content\"> \n  <div class=\"form-group\"> <label> Data Consistency Check Method <\/label> <select disabled class=\"form-control\"> <option value=\"An option will be selected here\">An option will be selected here<\/option> <\/select> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Automated consistency checks \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Cross-referencing with external sources \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Check for conflicting values \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"normalize-data-if-necessary\"> \n <h2>Normalize data if necessary<\/h2>\n <div class=\"text-content\">\n   Data normalization is the process of rescaling data to a standard range to ensure comparability. In this task, you need to determine if data normalization is necessary for your dataset. Consider the scales and distributions of the variables. Identify any variables that require normalization for fair comparison. Choose the appropriate method for data normalization, such as min-max scaling, z-score transformation, or logarithmic scaling. Apply the chosen method to the relevant variables. \n <\/div> \n <div class=\"multi-select-content form-field-content\"> \n  <div class=\"form-group\"> <label> Variables for Normalization <\/label> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Variable scales \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Variable distributions \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"validation-of-data-correctness\"> \n <h2>Validation of data correctness<\/h2>\n <div class=\"text-content\">\n   Data correctness ensures that the data accurately reflects the real-world phenomena it represents. In this task, you need to validate the correctness of the data. Use domain knowledge or external sources to verify the accuracy of the data. Consider any known data quality issues or potential biases. Compare the data against trusted sources or expert opinions. Document any data correctness issues you identify for further investigation or correction. \n <\/div> \n <div class=\"multi-choice-content form-field-content\"> \n  <div class=\"form-group\"> <label> Data Correctness Validation <\/label> <select disabled class=\"form-control\"> <option value=\"\">Multiple options can be selected from this list<\/option> <\/select> \n  <\/div> \n  <ul class=\"items\"> \n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       1 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Domain knowledge \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       2 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      External sources \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       3 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Known data quality issues \n    <\/div> <\/li>\n   <li class=\"item\"> \n    <div class=\"step-number-container\"> \n     <div class=\"step-number\">\n       4 \n     <\/div> \n    <\/div> \n    <div class=\"step-checkbox-container\"> \n     <div class=\"step-checkbox\"><\/div> \n    <\/div> \n    <div class=\"item-name-static\">\n      Expert opinions \n    <\/div> <\/li> \n  <\/ul> \n <\/div> \n<\/section> \n<section id=\"approval-data-accuracy-and-correctness\"> \n <h2>Approval: Data accuracy and correctness<\/h2>\n <div class=\"approval-content\"> \n  <div class=\"header\"> \n   <div class=\"list-title\">\n    Will be submitted for approval:\n   <\/div> \n  <\/div> \n  <div class=\"approval-rule-subject-tasks-list\"> \n   <ul class=\"list\"> \n    <li> \n     <div class=\"approval-rule-subject-tasks-list-item\"> \n      <div class=\"item\"> \n       <div class=\"container\"> <span class=\"title\">Validate the data accuracy<\/span> \n        <div class=\"body\">\n         Will be submitted\n        <\/div> \n       <\/div> \n      <\/div> \n     <\/div> <\/li>\n    <li> \n     <div class=\"approval-rule-subject-tasks-list-item\"> \n      <div class=\"item\"> \n       <div class=\"container\"> <span class=\"title\">Validate data relevance<\/span> \n        <div class=\"body\">\n         Will be submitted\n        <\/div> \n       <\/div> \n      <\/div> \n     <\/div> <\/li> \n   <\/ul> \n  <\/div> \n <\/div> \n<\/section> \n<section id=\"create-a-backup-of-the-clean-data\"> \n <h2>Create a backup of the clean data<\/h2>\n <div class=\"text-content\">\n   Creating a backup of the clean data is essential to ensure data integrity and preserve the cleaning process. 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