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{% extends 'lay_side.html' %}
{% block css %}
<!-- style="pointer-events: none;color: #ccc;cursor: not-allowed;" -->
<link rel="stylesheet" type="text/css" href="{{ url_for('static', filename='css/validate_style.css') }}">
{% endblock %}
{% block content %}
<br>
<!-- Dashboard Content -->
<div class="dashboard-content">
<div class="container">
<div class="row">
<div class="col-md-3" >
<div class="card headstats">
<div class="card-body">
<h5 class="card-title">Employee Count</h5>
<p class="card-text">{{ table_info['unique_gui'] }}</p>
</div>
</div>
</div>
<div class="col-md-3">
<div class="card headstats">
<div class="card-body">
<h5 class="card-title">Record Count</h5>
<p class="card-text">{{ table_info['n_rows'] }}</p>
</div>
</div>
</div>
<div class="col-md-3">
<div class="card headstats">
<div class="card-body">
<h5 class="card-title"> # Features</h5>
<p class="card-text">{{ table_info['n_cols'] }}</p>
</div>
</div>
</div>
<div class="col-md-3">
<div class="card headstats">
<div class="card-body">
<h5 class="card-title">Placeholder</h5>
<p class="card-text">Yes</p>
</div>
</div>
</div>
</div>
</div>
<br>
<div class="container">
<div class="row">
<div class="col-md-12">
<h3 class="h3" style="font-weight: bolder;">Data Validation Stats</h3>
<p>Each entry has been validated and categorized into one of the designated groups.
The columns against which validation was performed in the input data are depicted on the Y-axis.
The validation statistics are represented as a bar chart, displaying the percentage for each category.
</p>
<canvas id="validationbar"></canvas>
</div>
</div>
</div>
<br>
<div class="container mt-4">
<div class="row">
<div class="col-md-7">
<div class="card" style="box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);">
<div class="card-body">
<h5 class="card-title"><span class="badge badge-primary">Gender Analysis</span></h5>
<!-- <p class="card-text">The organization's workforce composition is characterized by a <i class="fa-solid fa-arrow-trend-up"></i> <span style="font-size: 24px; font-weight: bolder;color: #0d3460;">13</span>% higher representation of men compared to women, resulting in a diverse and varied cultural mix within the company.</p> -->
<p class="card-text">{{ aicontent_genderanalysis }}</p>
</div>
</div>
<!-- <div class="col-md-8"> -->
<div class="card mt-4" style="box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);">
<div class="card-body">
<h5 class="card-title"><span class="badge badge-success">Department Analysis</span></h5>
<p class="card-text">There are 402 distinct departments in the datasets and below are top ten departments based on number of employees.</p>
<p class="card-text">
{% for item in lst_topfive_dept %}
<span class="badge badge-secondary"> {{ item }} </span>
{% endfor %}
</p>
</div>
</div>
<!-- </div> -->
</div>
<div class="col-md-5">
<div class="card" style="box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);">
<div class="card-body">
<h5 class="card-title"><span class="badge badge-info">Rank Distribution</span></h5>
<!-- <p class="card-text">There are <i class="fa-solid fa-arrow-trend-up"></i> <span style="font-size: 36px; font-weight: bolder;color: #0d3460;">21</span>% more men than women in workforce. Which makes it diversified culture for the organization.</p> -->
<canvas id="doughnutChart"></canvas>
</div>
</div>
</div>
</div>
</div>
<br>
<div class="container mt-4">
<div class="row">
<div class="col-md-12">
<h3 class="h3" style="font-weight: bolder;">Visualizing Employee Count Over Time</h3>
<p>This chart displays the employee count over time, month by month.
The bars represent the total employee count, while the lines show counts specific to different ranks.
Dive into the insights about our workforce's evolution.
</p>
<canvas id="line_rankdistribution"></canvas>
</div>
</div>
</div>
<br>
<div class="container">
<div class="row">
<div class="col-md-12">
<h3 class="h3" style="font-weight: bolder;">Employee Distribution across cities</h3>
<p>Explore the Pareto diagram below to see how our employees are distributed across different cities.
The bars represent each city's employee count, with the highest counts on the left.
This visual insight helps you quickly identify our key workforce locations.
</p>
<canvas id="pareto_citydistribution"></canvas>
</div>
</div>
</div>
<div id="content">
{% include 'chatfile8.html' %}
</div>
{% endblock %}
{% block javascript %}
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
<script src="{{ url_for('static', filename='js/validate_script.js') }}"></script>
<!-- Add any additional JavaScript specific to data.html here -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/plotly.js/1.5.1/plotly.min.js"></script>
<!-- Bootstrap JS (Make sure to include this before your custom JS, if any) -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0-beta3/js/all.min.js"></script>
<!-- <script src="https://code.jquery.com/jquery-3.6.0.slim.min.js"></script> -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/2.10.2/umd/popper.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.5.2/js/bootstrap.min.js"></script>
<script>
</script>
{% endblock %} |