<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>Name</th>
      <th>Age</th>
      <th>Gender</th>
      <th>Blood Type</th>
      <th>Medical Condition</th>
      <th>Date of Admission</th>
      <th>Doctor</th>
      <th>Hospital</th>
      <th>Insurance Provider</th>
      <th>Billing Amount</th>
      <th>Room Number</th>
      <th>Admission Type</th>
      <th>Discharge Date</th>
      <th>Medication</th>
      <th>Test Results</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Bobby JacksOn</td>
      <td>30</td>
      <td>Male</td>
      <td>B-</td>
      <td>Cancer</td>
      <td>2024-01-31</td>
      <td>Matthew Smith</td>
      <td>Sons and Miller</td>
      <td>Blue Cross</td>
      <td>18856.281306</td>
      <td>328</td>
      <td>Urgent</td>
      <td>2024-02-02</td>
      <td>Paracetamol</td>
      <td>Normal</td>
    </tr>
    <tr>
      <th>1</th>
      <td>LesLie TErRy</td>
      <td>62</td>
      <td>Male</td>
      <td>A+</td>
      <td>Obesity</td>
      <td>2019-08-20</td>
      <td>Samantha Davies</td>
      <td>Kim Inc</td>
      <td>Medicare</td>
      <td>33643.327287</td>
      <td>265</td>
      <td>Emergency</td>
      <td>2019-08-26</td>
      <td>Ibuprofen</td>
      <td>Inconclusive</td>
    </tr>
    <tr>
      <th>2</th>
      <td>DaNnY sMitH</td>
      <td>76</td>
      <td>Female</td>
      <td>A-</td>
      <td>Obesity</td>
      <td>2022-09-22</td>
      <td>Tiffany Mitchell</td>
      <td>Cook PLC</td>
      <td>Aetna</td>
      <td>27955.096079</td>
      <td>205</td>
      <td>Emergency</td>
      <td>2022-10-07</td>
      <td>Aspirin</td>
      <td>Normal</td>
    </tr>
    <tr>
      <th>3</th>
      <td>andrEw waTtS</td>
      <td>28</td>
      <td>Female</td>
      <td>O+</td>
      <td>Diabetes</td>
      <td>2020-11-18</td>
      <td>Kevin Wells</td>
      <td>Hernandez Rogers and Vang,</td>
      <td>Medicare</td>
      <td>37909.782410</td>
      <td>450</td>
      <td>Elective</td>
      <td>2020-12-18</td>
      <td>Ibuprofen</td>
      <td>Abnormal</td>
    </tr>
    <tr>
      <th>4</th>
      <td>adrIENNE bEll</td>
      <td>43</td>
      <td>Female</td>
      <td>AB+</td>
      <td>Cancer</td>
      <td>2022-09-19</td>
      <td>Kathleen Hanna</td>
      <td>White-White</td>
      <td>Aetna</td>
      <td>14238.317814</td>
      <td>458</td>
      <td>Urgent</td>
      <td>2022-10-09</td>
      <td>Penicillin</td>
      <td>Abnormal</td>
    </tr>
  </tbody>
</table>
</div>

            Name  Age  Gender Blood Type Medical Condition Date of Admission  \
0  Bobby JacksOn   30    Male         B-            Cancer        2024-01-31   
1   LesLie TErRy   62    Male         A+           Obesity        2019-08-20   
2    DaNnY sMitH   76  Female         A-           Obesity        2022-09-22   
3   andrEw waTtS   28  Female         O+          Diabetes        2020-11-18   
4  adrIENNE bEll   43  Female        AB+            Cancer        2022-09-19   

             Doctor                    Hospital Insurance Provider  \
0     Matthew Smith             Sons and Miller         Blue Cross   
1   Samantha Davies                     Kim Inc           Medicare   
2  Tiffany Mitchell                    Cook PLC              Aetna   
3       Kevin Wells  Hernandez Rogers and Vang,           Medicare   
4    Kathleen Hanna                 White-White              Aetna   

   Billing Amount  Room Number Admission Type Discharge Date   Medication  \
0    18856.281306          328         Urgent     2024-02-02  Paracetamol   
1    33643.327287          265      Emergency     2019-08-26    Ibuprofen   
2    27955.096079          205      Emergency     2022-10-07      Aspirin   
3    37909.782410          450       Elective     2020-12-18    Ibuprofen   
4    14238.317814          458         Urgent     2022-10-09   Penicillin   

   Test Results  
0        Normal  
1  Inconclusive  
2        Normal  
3      Abnormal  
4      Abnormal  

Medical Condition
Arthritis       9308
Diabetes        9304
Hypertension    9245
Obesity         9231
Cancer          9227
Asthma          9185
Name: count, dtype: int64

YearMonth
2019-05     686
2019-06     907
2019-07     957
2019-08    1001
2019-09     936
           ... 
2024-01     909
2024-02     880
2024-03     906
2024-04     946
2024-05     213
Freq: M, Name: count, Length: 61, dtype: int64

Vizly: AI-powered data analysis

Analysis of Healthcare Dataset: Common Medical Conditions

What are the most common medical conditions?

Can you show a bar chart of the most common medical conditions?

Can you show the trend of admissions over time?