Determining the Gender of Names in Excel, CSV with Gender API

Gender API allows you to make bulk gender predictions using the names in your Excel file. In this step-by-step guide, we will explore how to determine the gender of names and review the features offered by this tool. Additionally, we will cover the supported file formats and the performance speed of Gender API.

You can watch the video before proceeding with the step-by-step instructions.

Gender API Excel CSV Video

Step 1: Integrate Gender API with Your Excel File

  • Prepare Your Excel File: Create a column in your Excel file that contains the names you want to analyze. Properly listing the names is crucial for accurate results.
  • Create a Gender API Account: Visit the official Gender API website to create an account or log in to your existing account.
  • Obtain Your API Key: After logging in, get your API access key to start the process.

Step 2: Upload Your Excel File

  • Select Method: Decide whether you want to determine gender based on names or email addresses.
  • API Key: Select your Gender API key.
  • Select File: Select your Excel file containing names or emails using the file picker.
  • Select Sheet: Select the sheet in Excel where your data is located.
  • Select Column: Select the column in your Excel file that contains the name or email information.
  • Country Code (Optional): To enhance data accuracy, you can also specify country codes. This helps the API provide more accurate gender predictions.
  • Upload File: Click the Upload button at the bottom to start the gender prediction process.
Gender API Excel CSV App

Step 4: Review Results

  • Analysis Results: Once the process is complete, details such as the predicted gender, accuracy rate, and country code will be displayed for each name.
  • Reporting and Filtering: You can review the gender data and, if desired, filter by accuracy percentage for more refined results.

Supported File Formats

Gender API supports various file formats, making it easy to process data from different platforms. Supported formats include:

  • CSV (.csv): This comma-separated file format is one of the most widely used data formats, compatible with most databases and applications.
  • Excel (.xlsx and .xls): These are Microsoft Excel file formats. You can directly perform gender predictions on names and other data in these file types.
  • Numbers (.numbers): Used for Apple’s Numbers application, this format allows Apple users to work directly with Gender API.
  • OpenDocument Spreadsheet (.ods): This format, preferred in open-source software, is ideal for users of LibreOffice and OpenOffice.
  • TSV (.tsv): Tab-separated values format, suitable for organizing large datasets, is commonly used in data science.

With these formats supported by Gender API, you can work directly without the need for file conversion. Each format is compatible with a wide range of applications and operating systems, enabling seamless integration with the API.

Gender API’s Speed and Performance

Gender API is capable of processing large datasets at high speeds. For example, it can predict the gender of a dataset containing 10,000 names in just 39 seconds. This high-speed capacity allows for handling millions of records within a single file. This feature is especially beneficial for projects that require large-scale data analysis, saving users significant time.

By uploading data in bulk, you can quickly obtain results, saving both time and effort. Gender API’s high performance enables you to manage gender prediction processes with maximum efficiency.

Additional Features Provided by Gender API

  • High Accuracy Rate: Gender API indicates the accuracy rate for gender predictions, allowing you to obtain reliable results.
  • Bulk Data Processing: Predict the gender of hundreds or even thousands of names in a single batch.
  • Country Code Filtering: Filter data by country to achieve more accurate results for global datasets.
  • Easy Integration: Use the web interface to complete all processes without needing technical knowledge.

With these steps, you can complete the integration of Gender API with your Excel files and quickly predict the gender of names in large datasets.

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