- Up to 25 rows per file
- Low processing priority
- CSV format
Data Normalizer leverages AI to streamline the data normalization process. By cleaning and standardizing data from various sources, it ensures data consistency and accuracy. Ideal for datasets in Excel, Python, R, and SQL.
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Data Normalizer
Data Normalizer leverages AI to streamline the data normalization process. By cleaning and standardizing data from various sources, it ensures data consistency and accuracy. Ideal for datasets in Excel, Python, R, and SQL.
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What is Data Normalizer?
Data Normalizer is an AI-powered solution designed to handle the complexities of data normalization. The tool cleans and standardizes data from various sources including Excel, Python, R, and SQL, combating issues such as typos, shortcuts, and inconsistent spellings. This ensures your data is accurate, consistent, and ready for analysis, thereby improving the reliability of insights extracted from your datasets.
Who will use Data Normalizer?
- Data Scientists
- Data Analysts
- Database Administrators
- Business Intelligence Professionals
- Developers
- Researchers
How to use the Data Normalizer?
- Step1: Sign up for an account on data-normalizer.com.
- Step2: Upload your dataset in Excel, CSV, SQL, R, or Python format.
- Step3: Configure normalization settings such as fuzzy match and levenshtein distance.
- Step4: Run the normalization process.
- Step5: Download the cleaned and normalized dataset.
Platform
- Web
Data Normalizer's Core Features & Benefits
The Core Features
- AI-powered data cleaning
- Fuzzy matching
- Levenshtein distance calculations
- Support for multiple data formats
- Real-time normalization
The Benefits
- Improved data accuracy
- Consistency across datasets
- Time-saving automation
- Enhanced data reliability
- Ready-to-analyze cleaned datasets
Data Normalizer's Main Use Cases & Applications
- Clean and standardize customer data
- Prepare data for machine learning models
- Normalize financial records
- Clean up marketing data
- Standardize survey results
Data Normalizer's Pros & Cons
The Pros
Automates correction of common data entry errors such as typos and inconsistent formatting
Supports large-scale data processing with plans up to 1,000,000 credits
Handles multiple formats including CSV and Excel
Free trial with no credit card required
Offers enterprise plans and student discounts
The Cons
No information on open-source availability or community contributions
No mobile or desktop applications indicated
Limited detail on integrations with other data systems or platforms
Data Normalizer's Pricing
| Has free plan | YES |
|---|---|
| Free trial details | Free testing with up to 25 rows per file, low processing priority, CSV format |
| Pricing model | Pay-as-you-go |
| Is credit card required | No |
| Paid from | 12 USD |
| Has lifetime plan | No |
| Billing frequency |
Details of Pricing Plan
Free
0 USD1,000 Credits
12 USD- Unlimited rows
- Fastest processing
- CSV and Excel format
- Free reprocessing on errors
- 1 row = 1 credit
5,000 Credits
29 USD- Unlimited rows
- Fastest processing
- CSV and Excel format
- Free reprocessing on errors
- 1 row = 1 credit
10,000 Credits
49 USD- Unlimited rows
- Fastest processing
- CSV and Excel format
- Free reprocessing on errors
- 1 row = 1 credit
25,000 Credits
99 USD- Unlimited rows
- Fastest processing
- CSV and Excel format
- Free reprocessing on errors
- 1 row = 1 credit
100,000 Credits
249 USD- Unlimited rows
- Fastest processing
- CSV and Excel format
- Free reprocessing on errors
- 1 row = 1 credit
1,000,000 Credits
990 USD- Unlimited rows
- Fastest processing
- CSV and Excel format
- Free reprocessing on errors
- 1 row = 1 credit
FAQs of Data Normalizer
Data Normalizer Company Information
- Website:
- Company Name: Data Normalizer
- Support Email:
- Facebook:
- X(Twitter):
- YouTube:
- Instagram:
- Tiktok:
- LinkedIn:
Data Normalizer Reviews
5/5
Data Normalizer's Main Competitors and alternatives?
Trifacta
Paxata
Talend
Alteryx
DataRobot
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