{% for key, value in context.components.variables.items() %} {% if value.error %}
{% with error_message = value.error %} {% include "error.html" %} {% endwith %}
{% else %}

{{ key|escape }}

{{ value.col_type }}

{% if value.col_type != "datetime" %} {% endif %}
{% for h, d in value.tabledata["Overview"].items() %} {% endfor %}
{{ h }} {{ d }}
{% if value.insights_tab["Bar Chart"] %}
    {% for insight in value.insights_tab["Bar Chart"] %}
  • {{ insight|escape }}
  • {% endfor %}
{% endif %} {% if value.insights_tab["Histogram"] %}
    {% for insight in value.insights_tab["Histogram"] %}
  • {{ insight }}
  • {% endfor %}
{% endif %} {{ value.plots[1][0] }}
{% for tab in value.tab_name[1:] %} {% endfor %}
{% if value.col_type == "numerical" %}

Quantile Statistics

{% for h, d in value.tabledata["Quantile Statistics"].items() %} {% endfor %}
{{ h }} {{ d }}

Descriptive Statistics

{% for h, d in value.tabledata["Descriptive Statistics"].items() %} {% endfor %}
{{ h }} {{ d }}
{% endif %} {% if value.col_type == "categorical" %}

Length

{% for h, d in value.tabledata["Length"].items() %} {% endfor %}
{{ h }} {{ d }}

Sample

{% for h, d in value.tabledata["Sample"].items() %} {% endfor %}
{{ h }} {{ d }}

Letter

{% for h, d in value.tabledata["Letter"].items() %} {% endfor %}
{{ h }} {{ d }}
{% endif %} {% for div,tab,insight_key in value.plots_tab %}
{% if value.insights_tab[insight_key] %}
    {% for insight in value.insights_tab[insight_key] %}
  • {{ insight|escape }}
  • {% endfor %}
{% endif %} {{ div }}
{% endfor %}
{% endif %} {% endfor %}