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Programatically add missing columns to a sorted dataframe
How do you programatically update a sorted dataframe with a column of NaN and then append it to an existing sorted dataframe? The column names are missing for these two dataframes, and the columns should come from the x column of the sorted dataframe. All values are strings.
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Q:
SQL joining 2 tables then selecting multiple rows from the second table
I have two tables (a, b) and a junction table (c) that I need to join. I want to select all rows from table b where there is a match in the join table for each row in a. This is the code I have so far…
SELECT b.id
FROM b
JOIN c ON c.id=b.id;
I want to select all rows from table b and add a column that says, for each row returned from table b, if it matches another record in table a. I then want to select all columns from table a. To put it more simply, I want to select the first 10 rows from b and for each of those rows check to see if it matches another record in a (based on id) and if so then include all other columns from a. Any help would be appreciated.
A:
The trick here is to use two joins.
SELECT c.id, b.col1, b.col2
FROM b
JOIN c on c.id=b.id
JOIN a ON c.id=a.id;
Risk of hepatocellular carcinoma and liver transplantation: Interplay between metabolic risk factors and risk of hepatocellular carcinoma.
Sarcopenia is associated with liver dysfunction and accelerated liver disease progression. In turn, liver dysfunction and accelerated liver disease progression are associated with increased risk of hepatocellular carcinoma. However, it is unclear whether sarcopenia is a contributor or a consequence of hepatocellular carcinoma. We conducted a retrospective study to evaluate sarcopenia, known risk factors for hepatocellular carcinoma, and tumor recurrence after liver transplantation. Sarcopenia is significantly associated with tumor size (p = 0.009), tumor type (p = 0.004), and American Liver Cancer group (p = 0.003) before transplantation, but not with Child-Pugh and Okuda stage. Sarcopenia is also a significant factor for the development of liver cancer recurrence after liver transplantation (p = 0.034). Further, sarcopenia significantly predicts liver cancer recurrence in patients with fatty liver, but not in those with non-alcoholic steato
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