vega | new arguably faster implementation of Apache Spark

The reason for the error is that there is no 8 and there are 2 12s.

I was not able to figure out how to do this with "visIgraph()" function - but I think I was able to figure out how to generate a random graph (meeting certain conditions: Generating Random Graphs According to Some Conditions) and using the regular "visNetwork()" function and then place a title on this graph:

Not sure to fully understand what you are looking for but:

1. If you want the vertices to be placed randomly and not on a circle, you just need to use the argument layout = "layout_randomly" inside the visIgraph() function.

2. If you want the vertices to be placed randomly and on a circle, you need to use the permute() function and then just add the argument layout = "layout_circle" inside the visIgraph() function.

Please find below a reprex.

Reprex

• Your data

Please find below one possible solution.

Reprex

• Your data

It is not possible to extend a color scheme automatically via Altair/VegaLite. You would need to manually define the colors you would want to use, or switch to another color scheme, as you mentioned.

Note that when you are using this many categorical colors, it can become quite difficult for the reader to parse the information in the plot and it is usually better to break down the plot into multiple plots via faceting, or use labels/hovering to encode some of the information instead of relying solely on color. There are some good pointers on this topic in this book chapter.

It seems that the spread_table after scraping may be post-processed in a way that couldn't convert the extracted substring into numeric class - i.e. when we do as.numeric, if there is any character, it may convert to NA.

In the below code, select the columns of interest after scraping, then extract the substring from the 'game_info' column to split into 'date', 'time', 'away_team_name' and 'home_team_name' based on a regex pattern matching and capturing ((...)) those groups that meet the criteria. (^(\\S+)) - captures the first group as one or more non white spaces characters from the start (^) of the string, followed by one or more white space (\\s+), then capture characters that are not newline character (([^\n]+)) followed by any character that is not letter ([^A-Za-z]+), capture third groups as one or more characters not the newline followed by again the characters not a letter and capture the rest of the characters ((.*)). Then loop across the 'BetMGM' to 'FanDuel', extract the substring characters not having u or - and is followed by a space ((?=\\s)), replace the substring fraction with + 0.5 (as there was only a single fraction), loop over the string and evalutate the string

You can set the stroke color for the outlines of the bars using something like mark_bar(stroke='gray') (it defaults to transparent): then empty bars will be shown by their outline:

To have independent color scales & legends, add the following at the top level of the chart specification:

There are two issues here:

1. Your top level encoding maps x to field ts, but "data": { "values": [] }, does not have any field named ts, so the encoding is undefined and no mark is drawn.

2. The datum encoding is applied to each entry in the associated dataset, but your dataset has length 0, and so there are no entries. You can use "data": { "values": [{}] } instead.

Fixing these two issues gives this (open in editor):