Introduction to AQR

AQR is a powerful library designed to streamline the process of developing qualitative research applications. It provides a robust set of APIs that allow developers to efficiently manage, analyze, and visualize qualitative data. In this guide, we’ll explore various AQR APIs and provide code snippets to help you understand how to utilize them effectively. Additionally, we’ll walk you through creating a simple application using the introduced APIs.

Getting Started with AQR

To get started with AQR, you need to install the library. You can do this using pip:

  pip install aqr

API Examples

Loading Data

You can load your qualitative data into AQR using the load_data API:

  from aqr import load_data

  data = load_data('path_to_your_data_file')

Data Analysis

AQR provides several APIs for analyzing qualitative data. The analyze_sentiment API, for example, can be used to perform sentiment analysis:

  from aqr import analyze_sentiment

  sentiment_results = analyze_sentiment(data)
  print(sentiment_results)

Text Categorization

Use the categorize_text API to categorize your qualitative data into predefined categories:

  from aqr import categorize_text

  categories = categorize_text(data, categories=['category1', 'category2'])
  print(categories)

Visualizing Data

The visualize_data API enables you to create visual representations of your data:

  from aqr import visualize_data

  visualization = visualize_data(data)
  visualization.show()

Exporting Results

AQR allows you to export your analysis results with the export_results API:

  from aqr import export_results

  export_results(sentiment_results, file_name='sentiment_analysis_results.csv')

Creating a Simple AQR Application

Let’s create a simple application that loads data, performs sentiment analysis, and visualizes the results:

  from aqr import load_data, analyze_sentiment, visualize_data

  def main():
      data = load_data('path_to_your_data_file')
      sentiment_results = analyze_sentiment(data)
      visualization = visualize_data(sentiment_results)
      visualization.show()

  if __name__ == '__main__':
      main()

Congratulations! You’ve successfully created a simple AQR application.

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