I am trying to output the df for the dataset. However, I can see the title of the table but not the actual data. It seems that it all aligned the right and hid. Is there any way to get it to show
Related
so, I have this data in the tibble displayed in the R-document. The first rows are shown fine the image of the first rows in the R-document, but the last are not shown (its just empty tibble, which has the data, but these cannot be seen cause I like can copy some of them) the image of the last rows in the R-document. The same thing is happening if the data were in the dataframe. Does anyone know how to overcome this issue, so in the R-document, one can see all the data clearly? Thanks in advance.
I can look at the data with View(), no problem, but it is not the way I want the reader to see the data as it's like a different window and not in the R-Document. I expect these last rows be either non-present or show the actual data.
ok, never mind. I just found a temporary and the best-at-the-moment solution, which is to use the function print.data.frame(). Though, it has not a good view like when you do it using the print() function, but it prints all the data (first rows) (last rows).
I am using qgrid to show pandas dataframe as a table in jupyter notebook. The code I'm using now is very simple, like:
qgrid_widget = qgrid.show_grid(some_df, show_toolbar=True)
qgrid_widget
Now the table is shown like the following (The table is big, I just show part of it):
For the rest of the work, I need to adjust many values in the table. And, as an experimental work, I don't know yet how the values should be adjusted, so I need to try. Now, to adjust the values, I double-click on the entry and enter the new value. I think a more efficient way is the following: each value in the table is represented on a slider, and I can drag the slider in the table to change the value.
I have tried the following but they don't work:
use ipywidgets.FloatSlider() as the entry of the table. This way, qgrid shows table entries just in plain text, "FloatSlider(value=xx, min=xx, max=xx, step=xxx)".
use ipysheet with FloatSlider(). However, even by following the examples here, the sheet just doesn't display on my jupyter notebook.
Does anyone have an idea for this question? How to use an interactive slider for each value in a table? Thanks!
So, it's my first time trying to make my own data visualization, and what I want to do is something like a heat map or highlighted table like the original Kohonen (but using squares rather than hexagons) research about countries, but I don't know how to apply it to the map I've got from training the network.
I've read a few links about making a highlighted table and heat map on Tableau, but what I get is always just a table mainly because I'm not using a measure (i just want every country of one color), so, my question is: is it possible to use Tableau for this situation and if so, how could I do it? Thanks!
Original SOM visualization from Dr. Kohonen
Table from Tableau
Yes it is possible to make visualizations like you describe in Tableau - but the question you posed is a bit vaguely specified to give you much more detailed guidance than first take some Tableau training.
For instance, how do you want to determine which row and column to place a country? You may need to write a table calc for row and col positions, which means learning about table calcs. Or you can assign them in a data column.
For square country marks, you'll want a discrete field on the rows shelf, a discrete field on the columns shelf, possible a dimension like Country name on the details shelf. Choose a square mark type, and (important) choose a square cell size from the format menu. Then adjust the size of your squares from the size button and the format menu, and colors and borders from the color button and format pane.
Lots to play with.
I have a csv file contains some statistics data, and each row represent a city.
I want to visualize them using Tableau and map them to the real world map. However, I am only able to put them onto the map as points or some other shapes, like the picture below:
What I really want is like the picture below:
I am able to figure out that this is because I have more than one point in a state/province, but I don't know how to sum these points and make them into one point that has their total value using Tableau.
Is there any possible solution for me? Thanks!
I'm looking to compare two datasets with each other. In an ideal world, I'd like to have it to show a green item if the data matches between the two. I have created two different GDocs files to get the code out there, to prevent SO from dinging me on formatting.
The first dataset is from our program itself, it pulls everything from our application, and displays the information, based on company code. The second dataset is from an external source requiring validation. The main fields I am matching are "NPI Number (Type 1)" from DS1 vs. "NPI" from DS2. If there is a match to highlight in green the row from both sides of data.
Dataset 1
Dataset 2
You may need to use LookUp function and set that as a expression to fill the background color of a text box or row of a table
Sample Expression: =iif(Len(Lookup(Fields!NPI.Value, Fields!NPI.Value, Fields!ProviderName.Value, "DS1"))>0,"Green","Red")
I have created a sample here. Download entire content and run it.