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Created March 7, 2024 02:26
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<h1>
<a href="https://chat.openai.com/c/8c525317-46b2-4c8f-9d75-1836b687edc1" target="_blank" rel="noopener noreferrer">Gender Bias Data Visualization</a>
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<p>Exported by
<a href="https://github.com/pionxzh/chatgpt-exporter">ChatGPT Exporter</a>
at 2024-03-06T23:13:47.864Z</p>
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<p>you&#039;re looking at a dataset that includes LLM generated ref letters for different genders, and columns like per_pos and per_for is the rating for the positivity and formality of the letter. we hope to demonstrate gender bias using data visualization from this dataset. explore the data first, take all time you need, and help me demonstrate that.</p>
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<p>The dataset consists of 6,028 entries and includes several columns relevant to our analysis. The key columns are:</p>
<ol>
<li><code>gender</code>: The gender of the individual for whom the reference letter is written.</li>
<li><code>per_pos</code>: The rating for the positivity of the letter.</li>
<li><code>per_for</code>: The rating for the formality of the letter.</li>
</ol>
<p>Other columns, such as <code>first_name</code>, <code>last_name</code>, <code>career_sec</code>, and <code>personal_sec</code>, provide additional context about the individuals and the content of the letters, but may not be directly relevant for analyzing gender bias.</p>
<p>To examine potential gender bias in positivity and formality of letters, we can start by comparing the average scores for <code>per_pos</code> and <code>per_for</code> across different genders. Let's calculate these averages and then visualize the results using appropriate charts, such as bar graphs, which can clearly illustrate differences in these metrics between genders.</p>
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<p>The visualizations provide a clear comparison of the average positivity and formality ratings in the reference letters across different genders:</p>
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<p><strong>Average Positivity Rating by Gender</strong>: The first chart shows the average positivity ratings for each gender. This graph can help identify if there is a noticeable difference in how positive the letters are based on the gender of the individual.</p>
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<p><strong>Average Formality Rating by Gender</strong>: The second chart displays the average formality ratings. This is useful to assess whether the tone of formality in the letters varies with the gender of the subject.</p>
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<p>These charts are instrumental in revealing potential biases in the language used in the letters. For a more detailed analysis, one could further investigate the distribution of these scores, look for trends across different occupations, or examine how these metrics interact with other variables in the dataset.</p>
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<p>use boxplot instead, also explore other columns</p>
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<div class="author GPT-4">
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<img 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<div class="author GPT-4">
<svg width="41" height="41"><use xlink:href="#chatgpt" /></svg>
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<p>The boxplots provide a more detailed view of the distribution of positivity and formality ratings across different genders:</p>
<ol>
<li>
<p><strong>Positivity Rating by Gender</strong>: The first boxplot illustrates the spread of positivity ratings for each gender, showing the median, quartiles, and potential outliers.</p>
</li>
<li>
<p><strong>Formality Rating by Gender</strong>: The second boxplot depicts the distribution of formality ratings. Similar to the positivity rating, it includes the median, quartiles, and outliers.</p>
</li>
</ol>
<p>These plots are useful for understanding not only the average tendencies but also the variability and range of ratings across genders.</p>
<p>Exploring other columns in the dataset reveals:</p>
<ul>
<li><strong>Career Section (<code>career_sec</code>)</strong>: There are 2,851 unique entries, suggesting a wide variety of career-related information.</li>
<li><strong>Personal Section (<code>personal_sec</code>)</strong>: With 2,843 unique entries, this column also indicates a diverse set of personal information about individuals.</li>
<li><strong>Occupation</strong>: There are 10 unique occupations, which could be a useful dimension for analyzing how the ratings differ across various professions.</li>
<li><strong>Info (<code>info</code>)</strong>: Almost every entry (6,020 out of 6,028) is unique, indicating a high level of detail and specificity in this column.</li>
<li><strong>Generated Text by ChatGPT (<code>chatgpt_gen</code>)</strong>: Each entry is unique, highlighting the distinctiveness of each generated reference letter.</li>
</ul>
<p>These columns can provide valuable insights when cross-referenced with the positivity and formality ratings. For instance, analyzing how the ratings vary across different occupations or comparing them in the context of the career and personal sections could uncover patterns that are relevant to understanding bias in the dataset.</p>
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