dict_keys(['zaps', 'Improvements WoW', 'W45', 'W46'])

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>object_id</th>
      <th>object_title</th>
      <th>impact</th>
      <th>W45</th>
      <th>Unnamed: 4</th>
      <th>Unnamed: 5</th>
      <th>Unnamed: 6</th>
      <th>W46</th>
      <th>Unnamed: 8</th>
      <th>Unnamed: 9</th>
      <th>Unnamed: 10</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>NaN</td>
      <td>Overall data</td>
      <td>NaN</td>
      <td>error rate</td>
      <td>error count</td>
      <td>progression WoW (%)</td>
      <td>progression WoW (#)</td>
      <td>error rate</td>
      <td>error count</td>
      <td>progression WoW (%)</td>
      <td>progression WoW (#)</td>
    </tr>
    <tr>
      <th>2</th>
      <td>166621345.0</td>
      <td>ZENDESK - ES</td>
      <td>1.0</td>
      <td>0.00%</td>
      <td>0</td>
      <td>-</td>
      <td>-</td>
      <td>0.00%</td>
      <td>0</td>
      <td>0%</td>
      <td>0</td>
    </tr>
    <tr>
      <th>3</th>
      <td>168585103.0</td>
      <td>ZENDESK - EN</td>
      <td>1.0</td>
      <td>0.00%</td>
      <td>0</td>
      <td>-</td>
      <td>-</td>
      <td>0.00%</td>
      <td>0</td>
      <td>0%</td>
      <td>0</td>
    </tr>
    <tr>
      <th>4</th>
      <td>174505317.0</td>
      <td>02.02 Webhooks Sendcloud</td>
      <td>2.0</td>
      <td>0.00%</td>
      <td>0</td>
      <td>-</td>
      <td>-</td>
      <td>0.00%</td>
      <td>0</td>
      <td>0%</td>
      <td>0</td>
    </tr>
  </tbody>
</table>
</div>

     object_id              object_title  impact         W45   Unnamed: 4  \
0          NaN                       NaN     NaN         NaN          NaN   
1          NaN              Overall data     NaN  error rate  error count   
2  166621345.0              ZENDESK - ES     1.0       0.00%            0   
3  168585103.0              ZENDESK - EN     1.0       0.00%            0   
4  174505317.0  02.02 Webhooks Sendcloud     2.0       0.00%            0   

            Unnamed: 5           Unnamed: 6         W46   Unnamed: 8  \
0                  NaN                  NaN         NaN          NaN   
1  progression WoW (%)  progression WoW (#)  error rate  error count   
2                    -                    -       0.00%            0   
3                    -                    -       0.00%            0   
4                    -                    -       0.00%            0   

            Unnamed: 9          Unnamed: 10  
0                  NaN                  NaN  
1  progression WoW (%)  progression WoW (#)  
2                   0%                    0  
3                   0%                    0  
4                   0%                    0  

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>object_title</th>
      <th>W46_error_rate</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>107</th>
      <td>INCIDENCE TF ES</td>
      <td>100.00</td>
    </tr>
    <tr>
      <th>108</th>
      <td>FAQ Spanish</td>
      <td>100.00</td>
    </tr>
    <tr>
      <th>106</th>
      <td>01.29 BRT Integration</td>
      <td>69.09</td>
    </tr>
    <tr>
      <th>105</th>
      <td>07.05 Shopify webhook to create return review</td>
      <td>64.29</td>
    </tr>
    <tr>
      <th>104</th>
      <td>Approve in Bulk</td>
      <td>42.86</td>
    </tr>
    <tr>
      <th>103</th>
      <td>13.02 AMPHORA Webhook</td>
      <td>20.45</td>
    </tr>
    <tr>
      <th>102</th>
      <td>01.28 Swisspost integration</td>
      <td>20.00</td>
    </tr>
    <tr>
      <th>101</th>
      <td>04.03 Invoicing Email - Stripe</td>
      <td>19.80</td>
    </tr>
    <tr>
      <th>100</th>
      <td>New label email notif - TROPICFEEL</td>
      <td>12.06</td>
    </tr>
    <tr>
      <th>99</th>
      <td>17.01 Alerts slack REVER Store</td>
      <td>10.00</td>
    </tr>
  </tbody>
</table>
</div>

                                      object_title  W46_error_rate
107                                INCIDENCE TF ES          100.00
108                                    FAQ Spanish          100.00
106                          01.29 BRT Integration           69.09
105  07.05 Shopify webhook to create return review           64.29
104                                Approve in Bulk           42.86
103                          13.02 AMPHORA Webhook           20.45
102                    01.28 Swisspost integration           20.00
101                 04.03 Invoicing Email - Stripe           19.80
100             New label email notif - TROPICFEEL           12.06
99                  17.01 Alerts slack REVER Store           10.00

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>object_title</th>
      <th>W46_error_rate</th>
      <th>W46_error_count</th>
      <th>impact</th>
      <th>weighted_score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>98</th>
      <td>13.XX Fulfillment warehouse Integration</td>
      <td>9.34</td>
      <td>621</td>
      <td>3</td>
      <td>313.902</td>
    </tr>
    <tr>
      <th>100</th>
      <td>New label email notif - TROPICFEEL</td>
      <td>12.06</td>
      <td>381</td>
      <td>3</td>
      <td>194.718</td>
    </tr>
    <tr>
      <th>103</th>
      <td>13.02 AMPHORA Webhook</td>
      <td>20.45</td>
      <td>307</td>
      <td>2</td>
      <td>160.035</td>
    </tr>
    <tr>
      <th>87</th>
      <td>SubZap Colissimo Tracking</td>
      <td>2.27</td>
      <td>223</td>
      <td>3</td>
      <td>112.781</td>
    </tr>
    <tr>
      <th>75</th>
      <td>12.01. Return Process Webhoook</td>
      <td>0.23</td>
      <td>211</td>
      <td>3</td>
      <td>106.169</td>
    </tr>
    <tr>
      <th>82</th>
      <td>Replace Hidden fields CS</td>
      <td>1.30</td>
      <td>128</td>
      <td>3</td>
      <td>64.990</td>
    </tr>
    <tr>
      <th>106</th>
      <td>01.29 BRT Integration</td>
      <td>69.09</td>
      <td>79</td>
      <td>0</td>
      <td>60.227</td>
    </tr>
    <tr>
      <th>95</th>
      <td>01.25 Flexport Labels</td>
      <td>7.52</td>
      <td>87</td>
      <td>3</td>
      <td>46.356</td>
    </tr>
    <tr>
      <th>67</th>
      <td>02.01 Logistics Tracking Webhook</td>
      <td>0.02</td>
      <td>84</td>
      <td>3</td>
      <td>42.606</td>
    </tr>
    <tr>
      <th>93</th>
      <td>create ON_HOLD for exchange order</td>
      <td>6.55</td>
      <td>75</td>
      <td>3</td>
      <td>40.065</td>
    </tr>
  </tbody>
</table>
</div>

                                object_title  W46_error_rate  W46_error_count  \
98   13.XX Fulfillment warehouse Integration            9.34              621   
100       New label email notif - TROPICFEEL           12.06              381   
103                    13.02 AMPHORA Webhook           20.45              307   
87                 SubZap Colissimo Tracking            2.27              223   
75            12.01. Return Process Webhoook            0.23              211   
82                  Replace Hidden fields CS            1.30              128   
106                    01.29 BRT Integration           69.09               79   
95                     01.25 Flexport Labels            7.52               87   
67          02.01 Logistics Tracking Webhook            0.02               84   
93         create ON_HOLD for exchange order            6.55               75   

     impact  weighted_score  
98        3         313.902  
100       3         194.718  
103       2         160.035  
87        3         112.781  
75        3         106.169  
82        3          64.990  
106       0          60.227  
95        3          46.356  
67        3          42.606  
93        3          40.065  

Analysis of Zapier Errors: Top Zaps to Improve Based on Error Rates

This is the error rate WoW, i need to know which zaps to work on improving next, give me the list of 10

yes, but the error count and the imapct are also relevant, every error affects 1 return process, so the count has more weight and the impact to (1 lower - 3 higher)