587 lines
No EOL
17 KiB
HTML
587 lines
No EOL
17 KiB
HTML
{% extends 'charts/base.html' %}
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{% block header %}
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<title>Moneroj.net - Reddit Subscribers</title>
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{% endblock %}
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{% block content %}
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<!-- Content Wrapper -->
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<div id="content-wrapper" style="background-color:rgb(48, 44, 41)">
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<!-- Main Content -->
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<div id="content">
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<!-- Begin Page Content -->
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<div class="container-fluid"><br>
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<div class="row">
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<div class="col-xl-12 col-lg-12">
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<div class="card" id="graph1">
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<div
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class="card-header py-3 d-flex flex-row align-items-center justify-content-between text-white">
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<h6 class="m-0 text-light">/Bitcoin, /CryptoCurrency and /Monero Monthly New Subscribers
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</h6>
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</div>
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<div class="card-body pb-0 pt-0 pl-0 pr-0" style="height: 100px;">
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<div id="graph" style="height: 100%; width:100%;"></div>
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</div>
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</div>
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<br>
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</div>
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</div>
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<div class="row">
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<div class="col-xl-12 col-lg-12">
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<div class="card" id="graph12">
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<div
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class="card-header py-3 d-flex flex-row align-items-center justify-content-between text-white">
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<h6 class="m-0 text-light">/Bitcoin, /CryptoCurrency and /Monero Monthly Percentage Increase
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in Subscribers</h6>
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</div>
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<div class="card-body pb-0 pt-0 pl-0 pr-0" style="height: 100px;">
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<div id="graph2" style="height: 100%; width:100%;"></div>
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</div>
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</div>
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<br>
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</div>
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</div>
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<!-- Content Row -->
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<div class="row">
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<!-- Earnings (Monthly) Card Example -->
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<div class="col-xl-4 col-md-6 mb-4">
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<div class="card border-left-new h-100 py-2">
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<div class="card-body">
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<div class="text-xs font-weight-bold text-info text-uppercase mb-1">
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New Monero Subscribers (Last 30 days)</div>
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<div class="h5 mb-0 font-weight-bold text-gray-800">{{ last_xmr }}</div>
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</div>
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</div>
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</div>
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<!-- Earnings (Monthly) Card Example -->
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<div class="col-xl-4 col-md-6 mb-4">
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<div class="card border-left-new h-100 py-2">
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<div class="card-body">
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<div class="text-xs font-weight-bold text-info text-uppercase mb-1">
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New Bitcoin Subscribers (Last 30 days)</div>
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<div class="h5 mb-0 font-weight-bold text-gray-800">{{ last_btc }}</div>
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</div>
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</div>
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</div>
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<!-- Earnings (Monthly) Card Example -->
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<div class="col-xl-4 col-md-6 mb-4">
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<div class="card border-left-new h-100 py-2">
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<div class="card-body">
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<div class="text-xs font-weight-bold text-info text-uppercase mb-1">
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New CryptoCurrency Subscribers (Last 30 days)</div>
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<div class="h5 mb-0 font-weight-bold text-gray-800">{{ last_crypto }}</div>
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</div>
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</div>
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</div>
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</div>
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<!-- Content Row -->
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<div class="row">
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<div class="col-xl-11 col-md-6 mb-4">
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<div class="alert alert-dark" role="alert">
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Not financial advice.
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For information about the chart, click the button >
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</div>
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</div>
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<div class="col-xl-1">
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<button type="button" class="btn btn-dark btn-block" data-toggle="modal" href="#"
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data-target="#id_Modal">
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<div class="col-auto">
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+
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</div>
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</button>
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</div>
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</div>
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</div>
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<!-- /.container-fluid -->
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</div>
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<!-- End of Main Content -->
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</div>
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<!-- End of Content Wrapper -->
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<!-- Modal -->
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<div class="modal fade" id="id_Modal" tabindex="-1" role="dialog" aria-labelledby="Modal" aria-hidden="true">
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<div class="modal-dialog" role="document">
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<div class="modal-content">
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<div class="modal-header">
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<h5 class="modal-title" id="Modal">Help about the chart</h5>
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<button type="button" class="close" data-dismiss="modal" aria-label="Cancelar">
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<span aria-hidden="true">×</span>
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</button>
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</div>
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<div class="modal-body">
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These charts show the total number of users for Subreddits: Monero, CryptoCurrency and Bitcoin. The more
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users the subreddit has, more likely it is to
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achieve mass adoption. So, sudden spikes in total number of users indicate there's a new wave of people
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getting into cryptocurrencies. Also, a sudden increase in
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/CryptoCurrency indicates others coins are getting into relevance, not only Bitcoin.</div>
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<div class="modal-footer">
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<button type="button" class="btn btn-secondary" data-dismiss="modal">Close</button>
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</div>
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</div>
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</div>
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</div>
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<!-- Fim do Modal -->
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<!-- Page level plugins -->
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<script>
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var data1 = {
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type: "scatter",
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mode: "lines",
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name: '/Bitcoin',
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x: {{ dates|safe }},
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y: {{ newcomers_btc|safe }},
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line: {
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color: '#ffff00'
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,width: 2
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}
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};
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var data1_mobile = {
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type: "scatter",
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mode: "lines",
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name: '/Bitcoin',
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x: {{ dates|safe }},
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y: {{ newcomers_btc|safe }},
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line: {
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color: '#ffff00'
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,width: 2
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}
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};
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var data2 = {
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type: "scatter",
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mode: "lines",
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name: '/Bitcoin',
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x: {{ dates|safe }},
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y: {{ speed_btc|safe }},
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line: {
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color: '#ffff00'
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,width: 2
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}
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};
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var data2_mobile = {
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type: "scatter",
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mode: "lines",
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name: '/Bitcoin',
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x: {{ dates|safe }},
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y: {{ speed_btc|safe }},
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line: {
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color: '#ffff00'
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,width: 2
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}
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};
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var data3 = {
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type: "scatter",
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mode: "lines",
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name: '/CryptoCurrency',
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x: {{ dates|safe }},
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y: {{ speed_crypto|safe }},
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line: {
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color: '#00ffff'
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,width: 2
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}
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};
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var data3_mobile = {
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type: "scatter",
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mode: "lines",
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name: '/CryptoCurrency',
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x: {{ dates|safe }},
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y: {{ speed_crypto|safe }},
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line: {
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color: '#00ffff'
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,width: 2
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}
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};
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var data4 = {
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type: "scatter",
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mode: "lines",
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name: '/CryptoCurrency',
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x: {{ dates|safe }},
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y: {{ newcomers_crypto|safe }},
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line: {
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color: '#00ffff'
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,width: 2
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}
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};
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var data4_mobile = {
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type: "scatter",
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mode: "lines",
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name: '/CryptoCurrency',
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x: {{ dates|safe }},
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y: {{ newcomers_crypto|safe }},
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line: {
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color: '#00ffff'
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,width: 2
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}
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};
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var data5 = {
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type: "scatter",
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mode: "lines",
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name: '/Monero',
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x: {{ dates|safe }},
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y: {{ newcomers_xmr|safe }},
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line: {
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color: '#dd1d1d'
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,width: 2
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}
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};
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var data5_mobile = {
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type: "scatter",
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mode: "lines",
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name: '/Monero',
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x: {{ dates|safe }},
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y: {{ newcomers_xmr|safe }},
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line: {
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color: '#dd1d1d'
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,width: 2
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}
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};
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var data6 = {
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type: "scatter",
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mode: "lines",
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name: '/Monero',
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x: {{ dates|safe }},
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y: {{ speed_xmr|safe }},
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line: {
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color: '#dd1d1d'
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,width: 2
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}
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};
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var data6_mobile = {
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type: "scatter",
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mode: "lines",
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name: '/Monero',
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x: {{ dates|safe }},
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y: {{ speed_xmr|safe }},
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line: {
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color: '#dd1d1d'
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,width: 2
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}
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};
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var data = [data1, data4, data5];
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var data_2 = [data2, data3, data6];
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var data_mobile = [data1_mobile, data4_mobile, data5_mobile];
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var data_mobile_2 = [data2_mobile, data3_mobile, data6_mobile];
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var layout = {
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plot_bgcolor:"#252221",
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paper_bgcolor:"#252221",
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annotations: [
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{
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xref: 'paper',
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yref: 'paper',
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x: 0.02,
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xanchor: 'auto',
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y: 0.02,
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yanchor: 'auto',
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text: 'Moneroj<br>https://www.moneroj.net',
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showarrow: false,
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borderwidth: 1,
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bordercolor: '#5f5f5f',
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bgcolor: '#333333',
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borderpad: 5,
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align: 'center',
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font: {
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color: "white",
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size: 12
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}
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}],
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separators: ",.",
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legend: {
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x: 1,
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y: 0.05,
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bgcolor: '#333333',
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bordercolor: '#5f5f5f',
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borderwidth: 1,
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font: {
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color: 'white',
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size: 12
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},
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traceorder: 'normal',
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xanchor: 'auto',
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yanchor: 'auto'
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},
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hoverlabel: {
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namelength: -1
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},
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yaxis: {
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type: "log",
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title: {
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text: 'New Subscribers (units)',
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font: {
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size: 20,
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color: 'white'
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}
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},
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tickformat :",.0f"
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,nticks: 10
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,tickfont: {
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color: "#ffffff"
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,size: 12
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}
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,gridcolor: "#333333"
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},
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xaxis: {
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hoverformat: "%Y-%m-%d",
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showgrid: true,
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type: 'date',
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nticks: 10
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,tickfont: {
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color: "#dddddd"
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,size: 13
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}
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,gridcolor: "#333333"
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,range: ['2012-10-01', '2023-01-01']
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,zeroline: true
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},
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margin: {
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l: 120,
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r: 60,
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b: 35,
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t: 10,
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pad: 4
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}
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};
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var layout_mobile = {
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plot_bgcolor:"black",
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paper_bgcolor:"black",
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separators: ",.",
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hoverlabel: {
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namelength: -1
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},
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legend: {
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x: 1,
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y: 0.02,
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bgcolor: '#000000',
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bordercolor: '#5f5f5f',
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borderwidth: 1,
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font: {
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color: 'white',
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size: 5
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},
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traceorder: 'normal',
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xanchor: 'auto',
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yanchor: 'auto'
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},
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showlegend: false,
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yaxis: {
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type: "log",
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tickformat :",.0f"
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,nticks: 10
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,tickfont: {
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color: "#ffffff"
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,size: 7
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}
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,gridcolor: "#444444"
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},
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xaxis: {
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hoverformat: "%Y",
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showgrid: true,
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type: 'date',
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nticks: 10
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,tickfont: {
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color: "#dddddd"
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,size: 7
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}
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,gridcolor: "#444444"
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,range: ['2012-10-01', '2023-01-01']
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,zeroline: true
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},
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margin: {
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l: 40,
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r: 0,
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b: 35,
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t: 10,
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pad: 0
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}
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};
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var layout_2 = {
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plot_bgcolor:"#252221",
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paper_bgcolor:"#252221",
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annotations: [
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{
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xref: 'paper',
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yref: 'paper',
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x: 0.02,
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xanchor: 'auto',
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y: 0.02,
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yanchor: 'auto',
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text: 'Moneroj<br>https://www.moneroj.net',
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showarrow: false,
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borderwidth: 1,
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bordercolor: '#5f5f5f',
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bgcolor: '#333333',
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borderpad: 5,
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align: 'center',
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font: {
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color: "white",
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size: 12
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}
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}],
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separators: ",.",
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legend: {
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x: 1,
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y: 0.02,
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bgcolor: '#333333',
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bordercolor: '#5f5f5f',
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borderwidth: 1,
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font: {
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color: 'white',
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size: 12
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},
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traceorder: 'normal',
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xanchor: 'auto',
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yanchor: 'auto'
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},
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hoverlabel: {
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namelength: -1
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},
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yaxis: {
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type: "log",
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title: {
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text: 'New Subscribers (%)',
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font: {
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size: 20,
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color: 'white'
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}
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},
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tickformat :",.1f"
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,nticks: 10
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,tickfont: {
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color: "#ffffff"
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,size: 12
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}
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,gridcolor: "#333333"
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},
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xaxis: {
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hoverformat: "%Y-%m-%d",
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showgrid: true,
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|
type: 'date',
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nticks: 10
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,tickfont: {
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color: "#dddddd"
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,size: 13
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}
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,gridcolor: "#333333"
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,range: ['2012-10-01', '2023-01-01']
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,zeroline: true
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},
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margin: {
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l: 120,
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r: 60,
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b: 35,
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t: 10,
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pad: 4
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}
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};
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var layout_mobile_2 = {
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plot_bgcolor:"black",
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|
paper_bgcolor:"black",
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|
separators: ",.",
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|
hoverlabel: {
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|
namelength: -1
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},
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|
legend: {
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x: 1,
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|
y: 0.02,
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|
bgcolor: '#000000',
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|
bordercolor: '#5f5f5f',
|
|
borderwidth: 1,
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|
font: {
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|
color: 'white',
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|
size: 5
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|
},
|
|
traceorder: 'normal',
|
|
xanchor: 'auto',
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|
yanchor: 'auto'
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|
},
|
|
showlegend: false,
|
|
yaxis: {
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|
type: "log",
|
|
tickformat :",.1f"
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,nticks: 10
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,tickfont: {
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color: "#ffffff"
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|
,size: 7
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}
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|
,gridcolor: "#444444"
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},
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xaxis: {
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hoverformat: "%Y",
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showgrid: true,
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type: 'date',
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nticks: 10
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,tickfont: {
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color: "#dddddd"
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,size: 7
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}
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,gridcolor: "#444444"
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,range: ['2012-10-01', '2023-01-01']
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,zeroline: true
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},
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margin: {
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l: 40,
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r: 0,
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b: 35,
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t: 10,
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pad: 0
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}
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};
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function findBootstrapEnvironment() {
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let envs = ['xs', 'sm', 'md', 'lg', 'xl'];
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let el = document.createElement('div');
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document.body.appendChild(el);
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let curEnv = envs.shift();
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for (let env of envs.reverse()) {
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el.classList.add(`d-${env}-none`);
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if (window.getComputedStyle(el).display === 'none') {
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curEnv = env;
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break;
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}
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}
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document.body.removeChild(el);
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return curEnv;
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}
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env_size = findBootstrapEnvironment();
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if (env_size == "xs") {
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document.getElementById("graph1").style.height="350px";
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Plotly.newPlot('graph', data_mobile, layout_mobile, {responsive: true, modeBarButtonsToRemove: ['toImage', 'hoverCompareCartesian', 'hoverClosest2d', 'toggleSpikelines', 'lasso2d', 'select2d', 'hoverClosestCartesian'], displaylogo: false});
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document.getElementById("graph12").style.height="350px";
|
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Plotly.newPlot('graph2', data_mobile_2, layout_mobile_2, {responsive: true, modeBarButtonsToRemove: ['toImage', 'hoverCompareCartesian', 'hoverClosest2d', 'toggleSpikelines', 'lasso2d', 'select2d', 'hoverClosestCartesian'], displaylogo: false});
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}
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else {
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document.getElementById("graph1").style.height="700px";
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Plotly.newPlot('graph', data, layout, {responsive: true, modeBarButtonsToRemove: ['toImage', 'hoverCompareCartesian', 'hoverClosest2d', 'toggleSpikelines', 'lasso2d', 'select2d', 'hoverClosestCartesian'], displaylogo: false});
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|
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document.getElementById("graph12").style.height="700px";
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Plotly.newPlot('graph2', data_2, layout_2, {responsive: true, modeBarButtonsToRemove: ['toImage', 'hoverCompareCartesian', 'hoverClosest2d', 'toggleSpikelines', 'lasso2d', 'select2d', 'hoverClosestCartesian'], displaylogo: false});
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|
}
|
|
</script>
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|
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{% endblock %} |