CSV files can be prone to errors, inconsistencies, and formatting issues, which can make them difficult to work with and analyze. CSV cleaning refers to the process of detecting and correcting these issues in a CSV file, ensuring that the data is accurate, consistent, and properly formatted.
Datablist Bulk edit simplifies the CSV cleaning process. Make changes to multiple items at once. Apply changes to entire collections, edit filtered items or bulk edit selected items. It is a highly efficient tool for managing and updating large datasets. With Datablist Bulk Edit, you can standardize your data. Apply consistent formatting and values to all relevant records. Find and replace is another valuable tool for CSV cleaning that can help you. With the Find and Replace tool, update or correct data values in your dataset with text or regular expression patterns.
Split and Merge CSV columns
Splitting and merging CSV columns is a useful technique for CSV cleaning. It helps you to restructure and organize your data in a more meaningful way. For example, if you have a single column that contains multiple data values separated by a delimiter, such as a comma or a semicolon, you can split the column into multiple columns based on the delimiter. This is perfect to clean names and splitting a full name into first-name and last-name parts. Or to get a domain from an email address. On the other hand, merging CSV columns can help you to combine multiple data values into a single, comprehensive column. This can be useful to consolidate text into a single column, such as merging all postal address parts into a single address text.
Reconcile your data from multiple CSV files
Data reconciliation is easy with Datablist. Import your multiple data sources into several collections. Then select common identifiers between the lists to join them together. Datablist has 'FULL OUTER JOIN' and 'LEFT OUTER JOIN' join options. You can configure how to merge conflicting data. Skip or merge the imported data. Reconciling CSV sources will help you with your financial data, your customer data, and your prospecting.