Data Cleaner is an app that specializes in cleaning and explaining data. It offers a user-friendly interface where you can upload your file and receive guidance throughout the cleanup process. With Data Cleaner, you can easily remove duplicates, transform data, and identify outliers. It provides tools like Python and browser-based functionalities to perform the necessary tasks. Say goodbye to messy data and hello to a well-organized and comprehensible dataset!
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Prompt 1: "How do I clean this data?"
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Prompt 2: "Can you remove duplicates from my dataset?"
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Prompt 3: "Explain this data transformation to me."
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Prompt 4: "Why is this data point an outlier?"
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Prompt 5: "I have a file with messy data, can you help me clean it?"
Feature/Command | Description |
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cleanData |
This feature allows you to clean and transform your data. You can upload your file and the AI will guide you through the cleanup process. It provides various tools for data cleaning, such as removing duplicates, handling missing values, fixing inconsistent formatting, and identifying outliers. |
explainTransformation |
This command helps you understand a specific data transformation. You can provide the details of the transformation and the AI will provide an explanation of how it works and its effects on the data. |
removeDuplicates |
This command removes duplicate entries from your dataset. You need to provide the dataset as input and the AI will perform the necessary steps to identify and remove any duplicate rows or records. |
identifyOutliers |
This command helps you understand why a particular data point is considered an outlier. You can provide the details of the data point and the AI will analyze the distribution and provide insights on its deviation from the norm. |