<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>category</th>
      <th>response_count</th>
    </tr>
  </thead>
  <tbody>
  </tbody>
</table>
</div>

Empty DataFrame
Columns: [category, response_count]
Index: []

<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>is_active</th>
      <th>created_on</th>
      <th>last_updated_on</th>
      <th>name</th>
      <th>team</th>
      <th>logo</th>
      <th>primary_contact_name</th>
      <th>primary_contact_email</th>
      <th>domain_name</th>
      <th>...</th>
      <th>payment_term</th>
      <th>primary_contact_phone</th>
      <th>secondary_contact_name</th>
      <th>secondary_contact_email</th>
      <th>secondary_contact_phone</th>
      <th>created_by_id</th>
      <th>last_updated_by_id</th>
      <th>primary_contact_id</th>
      <th>status_id</th>
      <th>vendor_type_id</th>
    </tr>
  </thead>
  <tbody>
  </tbody>
</table>
<p>0 rows × 42 columns</p>
</div>

Empty DataFrame
Columns: [id, is_active, created_on, last_updated_on, name, team, logo, primary_contact_name, primary_contact_email, domain_name, short_name, year, year_of_incorp, location, nearest_hub, profile, category, founder_name, founder_email, contact_no, email, link, sector, area_expertise, type, is_gdg, vendor_tier, tax_number_1, tax_number_2, tax_number_3, company_code, accounting_info, payment_term, primary_contact_phone, secondary_contact_name, secondary_contact_email, secondary_contact_phone, created_by_id, last_updated_by_id, primary_contact_id, status_id, vendor_type_id]
Index: []

[0 rows x 42 columns]

<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>is_active</th>
      <th>created_on</th>
      <th>last_updated_on</th>
      <th>response</th>
      <th>coverage</th>
      <th>refs</th>
      <th>created_by_id</th>
      <th>last_updated_by_id</th>
      <th>opportunity_id</th>
      <th>scope_id</th>
      <th>scope_category_id</th>
      <th>vendor_id</th>
    </tr>
  </thead>
  <tbody>
  </tbody>
</table>
</div>

Empty DataFrame
Columns: [id, is_active, created_on, last_updated_on, response, coverage, refs, created_by_id, last_updated_by_id, opportunity_id, scope_id, scope_category_id, vendor_id]
Index: []

Notebook

Visualize vendor responses by category.