tung | A javascript library for rendering html

The problem is that you are making the SUM after you have already agregated the values. You should make the sum and the JOIN to the service table inside your subquery like:

You don't need two loops to get each object info. Maybe this is what you are looking for.

Instead of grabbing the text of whole body tag like:

text = soup.body.get_text()

Make it a bit more specific and just grab the article tag like:

article = ''.join([p.get_text() for p in soup.select_one('article').select('p')][1:-1])

What happens there?

1. soup.select_one('article') selects the article tag

2. select('p') selects all p tags in result of soup.select_one('article')

3. [p.get_text() for p in soup.select_one('article').select('p')] is looping over all results from select('p') and generating a list of its texts

4. last step is joining ''.join() all elements together, excluding the first and the last one by list slicing [1:-1]

The problem is how you use switch case - seems like ejs expects the cases to remain inside the switch-ejs expression. Try something like this:

remove.onclick is being set to the return value of executing removeDiv (the '()' following removeDiv), which is likely undefined. So when the button is clicked, javascript tries to execute undefined which just doesn't make sense.

Instead, it should be set to the function itself... i.e.

The pwalk function is explicitly designed not to return an output, but instead to focus on side-effects (like printing, reading/writing, or plotting). It is an alternative function to pmap, which does return its output.

You could return the plots in a list like this:

1. Change the last line of your custom function from print(p) to return(p)
2. Use the pmap function rather than pwalk

For Table.SelectColumns you may use MissingField.Ignore parameter, as you mentioned. The error returned because of Table.TransformColumnTypes function. The easiest solution - removing {"Benzen", type text}, {"BTEX total", type text}, from it (I guess, type text is not essential for other transformations).

1. To sort each component, use lapply:

   sorted <- lapply(x, sort, decreasing = TRUE)

2. To convert the tables to dataframes, use as.data.frame. This gives you a list of dataframes, then changes the names:

   df <- lapply(sorted, as.data.frame) names(df) <- paste0("df_", names(sorted))

   If you also want these as separate variables (which is probably not a good idea), you could use

   for (n in names(df)) assign(n, df[[n]])

3. To get the head of each element of the list, use lapply again:

   lapply(df, head)

   This gives output starting out as

   $df_brand Var1 Freq 1 Nissin 381 2 Nongshim 98 3 Maruchan 76 4 Mama 71 5 Paldo 66 6 Myojo 63

   $df_style Var1 Freq 1 Pack 1531 2 Bowl 481 3 Cup 450 4 Tray 108 5 Box 6 6 2

You can't quite do this automatically, but you could set defaults for a function (possibly the class constructor):