Question

select distinct results from eddtP by patient ID and admit date # (1.1) SELECT attributes: these are from the original tables (1 point) attsT = # (1.2) show only distinct results: use groupby and last() as the aggregatre function (1 point) eddtPTotal = [ ]: # (2) plot the number of admissions by year (1 point) eddtPTotal. Part 6: Combine [ ]: # (1) store total and readmission counts in separate variables (2 points) total = readmits # (2) concatentate the values into a single DataFrame: outer join on axis 1 (1 point) pCounts = pd.concat [ ]: # (3) rename the columns: 'admit_date' to 'Total' and 'admit_date_x' to Readmissions (2 points) pCounts = [ ]: # (4) add a new column named Rate and set it to Readmissions / Total (1 point) pCounts [ ]: # (5) plot readmissions rate (1 point) ax = ax.

Answer 1

To plot the number of admissions by year, you can follow these steps:

1. Retrieve the 'admit_date' column from the 'eddtP' table.
2. Extract the year from each date.
3. Group the data by year and count the number of admissions for each year.
4. Create a plot to visualize the trend over time.

Step-by-step explanation:

To plot the number of admissions by year, we can follow these steps:

1. Retrieve the 'admit_date' column from the 'eddtP' table.
2. Extract the year from each date using a suitable function or method.
3. Group the data by year and count the number of admissions for each year.
4. Create a plot using a suitable library, such as Matplotlib or Seaborn, to visualize the trend over time.

Here is an example code snippet in Python using Pandas and Matplotlib:import pandas as pd