first commit

.gitignore

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+.venv
+data

app.py

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+from flask import Flask, render_template, redirect, url_for
+import pandas as pd
+from charts.charts import bar_chart, bar_chart_with_special_legend, point_chart, pie_chart
+
+app = Flask(__name__)
+
+# Read the CSV file
+
+def translate_csv(file, translation_dict):
+    with open(file, 'r') as f:
+        text = f.read()
+    for key, value in translation_dict.items():
+        text = text.replace(key, value)
+    with open('data/umfrage2survey.csv', 'w') as f:
+        f.write(text)
+
+translation_dict = {
+    'Wie sind Sie auf WissKI aufmerksam geworden?': 'How did you hear about WissKI?',
+    'In welchem Bereich verwenden Sie WissKI?': 'In which area do you use WissKI?',
+    'Wie lange arbeiten Sie mit WissKI?': 'How long do you work with WissKI?',
+    'Bedeutung von Softwarefeatures und Eigenschaften': 'Importance of software features and properties',
+    'In welcher Rolle benutzen Sie WissKI?': 'In which role do you use WissKI?',
+    'Haben Sie Erfahrung mit anderen Forschungsdaten-Management-Systemen?': 'Do you have experience with other research data management systems?',
+    'Haben Sie Zugriff auf kompetenten IT- und Systemadministrationssupport innerhalb Ihres Projektes bzw. Institution?': 'Do you have access to competent IT and system administration support within your project or institution?',
+    'Arbeitet Ihre Institution/ Unternehmen das erste Mal mit WissKI?': 'Is this the first time your institution/company has worked with WissKI?',
+    'Wie viele Stunden stehen Ihnen für die Arbeit mit WissKI wöchentlich zur Verfügung?': 'How many hours a week do you have available for working with WissKI?',
+    'Welchen Community-Angeboten haben Sie mindestens einmal wahrgenommen?': 'Which community offers have you used at least once?',
+    'Im Verhältnis zu anderen Forschungsdaten-Management-Systemen verorte ich die Qualität von WissKI als...': 'In relation to other research data management systems, I classify the quality of WissKI as...',
+    'Wie wahrscheinlich ist es, dass Sie WissKI als Forschungsdaten-Management-System weiterempfehlen?':'How likely is it that you would recommend WissKI as a research data management system?'
+}
+
+translate_csv('data/Community-Umfrage.csv', translation_dict)
+
+df = pd.read_csv('data/umfrage2survey.csv', encoding='utf8')
+#df = pd.read_csv('data/Community-Umfrage.csv', encoding='utf8')
+
+plots = {}
+
+# Normal bar charts
+# 1 Wie sind Sie auf WissKI aufmerksam geworden?
+# 2 In welchem Bereich verwenden Sie WissKI?
+# 25 Haben Sie Zugriff auf kompetenten IT- und Systemadministrationssupport innerhalb Ihres Projektes bzw. Institution?
+# 26 Arbeitet Ihre Institution/ Unternehmen das erste Mal mit WissKI?
+
+bar_charts = [1,2,25,26]
+for chart in bar_charts:
+  question_data = df.iloc[:, chart]
+  question_plot = bar_chart(question_data, question_data.name)
+  plots[chart] = (question_data.name, question_plot)
+
+# Cleaned pie charts
+# 23 In welcher Rolle benutzen Sie WissKI?
+question_data = df.iloc[:, 23]
+for index, value in question_data.items():
+    new_value = value.split(' (')[0]
+    question_data[index] = new_value
+
+question_plot = pie_chart(question_data, question_data.name)
+plots[3] = (question_data.name, question_plot)
+
+# Normal Pie charts
+# 3 Wie lange arbeiten Sie mit WissKI?
+# 24 Haben Sie Erfahrung mit anderen Forschungsdaten-Management-Systemen?
+# 27 Wie viele Stunden stehen Ihnen für die Arbeit mit WissKI wöchentlich zur Verfügung?
+# 28 Welchen Community-Angeboten haben Sie mindestens einmal wahrgenommen?
+pie_charts = [3,24,27,28]
+for chart in pie_charts:
+  question_data = df.iloc[:, chart]
+  question_plot = pie_chart(question_data, question_data.name)
+  plots[chart] = (question_data.name, question_plot)
+
+# Point charts
+# 9-22 Software Features
+median_values = df.iloc[:, 9:23].median()
+median_values_cleaned = pd.Series(name='Software Features')
+for index, value in median_values.items():
+    new_index = index.split(' [')[1].split(']')[0]
+    median_values_cleaned[new_index] = value
+
+point_plot = point_chart(median_values_cleaned, 'Software Features')
+plots[9] = ('Software Features', point_plot)
+
+
+# Bar charts with median
+# 29 Im Verhältnis zu anderen Forschungsdaten-Management-Systemen verorte ich die Qualität von WissKI als...
+bar_charts_with_median = [29]
+for chart in bar_charts_with_median:
+  question_data = df.iloc[:, chart]
+  question_plot = bar_chart_with_special_legend(question_data, question_data.name, 'quality')
+  plots[chart] = (question_data.name, question_plot)
+
+bar_charts_with_median = [31]
+for chart in bar_charts_with_median:
+  question_data = df.iloc[:, chart]
+  question_plot = bar_chart_with_special_legend(question_data, question_data.name, 'recommendation')
+  plots[chart] = (question_data.name, question_plot)
+
+plots = dict(sorted(plots.items(), key=lambda x: x[0]))
+
+# Generate list of charts
+charts = [{'id': i+1, 'title': plots[col][0], 'data': plots[col][1]} for i, col in enumerate(plots.keys())]
+
+@app.route('/')
+def index():
+    return redirect(url_for('show_chart', chart_id=1))
+
+@app.route('/chart/<int:chart_id>')
+def show_chart(chart_id):
+    chart = next((c for c in charts if c['id'] == chart_id), None)
+    if not chart:
+        return redirect(url_for('index'))
+
+    plot_url = chart['data']
+    prev_id = chart_id - 1 if chart_id > 1 else len(charts)
+    next_id = chart_id + 1 if chart_id < len(charts) else 1
+
+    return render_template('chart.html', plot_url=plot_url, prev_id=prev_id, next_id=next_id, title=chart['title'])
+
+if __name__ == '__main__':
+    app.run(debug=True)

charts/__init__.py

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+# This file can be empty but is required to make the charts directory a package

charts/charts.py

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+import seaborn as sns
+import matplotlib.pyplot as plt
+import io
+import base64
+import pandas as pd
+
+def bar_chart(data, title):
+    data = data.str.split(';').explode().value_counts()
+    fig, ax = plt.subplots(figsize=(12,6))
+    palette = sns.color_palette("husl", len(data))
+    sns.barplot(x=data.index, y=data.values, ax=ax, hue=data.index, palette=palette, legend=False)
+    ax.set_xlabel('Answer')
+    ax.set_ylabel('Count')
+
+    # Rotate the x-axis labels and set their horizontal alignment
+    for tick in ax.get_xticklabels():
+        tick.set_rotation(45)
+        tick.set_horizontalalignment('right')
+        tick.set_fontsize(12)
+
+    fig.tight_layout()
+
+    img = io.BytesIO()
+    fig.savefig(img, format='png', dpi=300, bbox_inches='tight', pad_inches=0.5)
+    img.seek(0)
+    plot_url = base64.b64encode(img.getvalue()).decode('utf8')
+    plt.close()
+    return plot_url
+
+def bar_chart_with_special_legend(data, title, scale='recommendation'):
+    if scale == 'recommendation':
+        data = data.map({1:'not likely', 2:'less likely', 3:'not sure', 4:'more likely', 5:'definitely'})
+
+    # create a value counts series
+    data_counts = data.value_counts()
+
+    fig, ax = plt.subplots(figsize=(12,6))
+    palette = sns.color_palette("husl", 5)
+    sns.barplot(x=data_counts.index, y=data_counts.values, ax=ax, hue=data_counts.index, palette=palette)
+    ax.set_xlabel('Answer')
+    ax.set_ylabel('Count')
+
+    # set y-axis to only have integer values
+    ax.yaxis.set_major_locator(plt.MultipleLocator(1.0))
+
+    # Rotate the x-axis labels and set their horizontal alignment
+    for tick in ax.get_xticklabels():
+        tick.set_rotation(45)
+        tick.set_horizontalalignment('right')
+        tick.set_fontsize(12)
+
+    fig.tight_layout()
+
+    img = io.BytesIO()
+    fig.savefig(img, format='png', dpi=300, bbox_inches='tight', pad_inches=0.5)
+    img.seek(0)
+    plot_url = base64.b64encode(img.getvalue()).decode('utf8')
+    plt.close()
+    return plot_url
+
+def pie_chart(data, title):
+    data = data.str.split(';').explode().value_counts()
+    fig, ax = plt.subplots(figsize=(12,6))
+    ax.pie(data.values, labels=data.index, autopct='%1.1f%%')
+    fig.tight_layout()
+    img = io.BytesIO()
+    fig.savefig(img, format='png', dpi=300, bbox_inches='tight', pad_inches=0.5)
+    img.seek(0)
+    plot_url = base64.b64encode(img.getvalue()).decode('utf8')
+    plt.close()
+    return plot_url
+
+def point_chart(data, title):
+    # Count the occurrences of each value
+
+    # Map the x-axis values to the appropriate string
+    data = data.map({1:'not important', 2:'less important', 3:'important', 4:'more important', 5:'mandatory'})
+
+    # Create a figure and axis
+    fig, ax = plt.subplots()
+
+    # Plot your data
+    for answer, value in data.items():
+        ax.plot([value], [answer], marker='o')
+
+    # Set the x-axis ticks and labels
+    ax.set_xticks(list(set(data.values)))
+    ax.set_xticklabels(list(set(data.values)), rotation=45)
+
+    # Set the y-axis limits to remove the axis
+    ax.set_yticks(list(data.keys()))
+
+    # Set the font size of the y-axis
+    for tick in ax.get_yticklabels():
+        tick.set_fontsize(9)
+
+    fig.tight_layout()
+    img = io.BytesIO()
+    fig.savefig(img, format='png', dpi=300, bbox_inches='tight', pad_inches=0.5)
+    img.seek(0)
+    plot_url = base64.b64encode(img.getvalue()).decode('utf8')
+    plt.close()
+    return plot_url
+

static/styles.css

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+body {
+  font-family: Arial, sans-serif;
+  text-align: center;
+}
+
+img {
+  width: 80%;
+  height: auto;
+}
+
+div {
+  margin-top: 20px;
+}
+
+a {
+  text-decoration: none;
+  font-size: 20px;
+}
+
+.navigation {
+  display: flex;
+  justify-content: space-around;
+}

templates/chart.html

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+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <meta charset="UTF-8">
+  <title>{{ title }}</title>
+  <link rel="stylesheet" href="{{ url_for('static', filename='styles.css') }}">
+  <style>
+    html, body {
+      height: 100%;
+    }
+    body {
+      display: flex;
+      align-items: center;
+      justify-content: center;
+    }
+  </style>
+</head>
+
+<body>
+  <div>
+  <div>
+    <h1>{{ title }}</h1>
+    <img src="data:image/png;base64,{{ plot_url }}" alt="Chart">
+  </div>
+  <div class="navigation">
+    <a href="{{ url_for('show_chart', chart_id=prev_id) }}">&#8592; Previous</a>
+    <a href="{{ url_for('show_chart', chart_id=next_id) }}">Next &#8594;</a>
+  </div>
+  </div>
+</body>
+
+</html>
+