This actually worked very well on a 4700rowx10col table (a bacterial genome 
feature table, mainly numbers, id codes, a short descriptor) pasted from 
Excel. Just swap to tab as delimiter and make sure you have the Force wrap 
numbers in quotes option enabled. I then did a search/replace to identify 
the title and text fields, the remainder ending up as footer fields (or 
whatever they're called). Import of the resulting json paused a couple of 
times but pressing Continue ultimately saw the operation complete 
successfully.

On Monday, March 9, 2015 at 5:58:14 PM UTC, Peter Miller wrote:
>
> Again, an offline kludge but may be of interest in converting csv to and 
> from json. Can roundtrip single-line text though I wouldn't like to say how 
> reliable it is. http://www.convertcsv.com/
>
> bw
>
> Peter
>
> On Thursday, March 5, 2015 at 3:01:15 PM UTC, Andreas Hahn wrote:
>>
>>  Hi Peter,
>>
>> very interesting workarounds to get  charts into TW, I think for now that 
>> is about the best way to do it.
>> There are d3 widgets (namnely a bar chart and a cloud chart) available as 
>> a plugin in TW, however, they are very difficult to use in terms of input 
>> data formatting. Currently they require a specific json input, maybe 
>> someday they can handle csv data that could be pasted straight from excel. 
>> I think I also saw other widgets offering other chart types, but I am not 
>> sure.
>>
>> /Andreas
>>
>> Am 05.03.2015 um 15:35 schrieb Peter Miller:
>>  
>> In similar vein, you can convert charts in Excel to SVG format in a 
>> slightly roundabout way, viz move them to their own tab, save to PDF, use 
>> cloudconvert.com to generate an SVG file and add it to Tw5 by 
>> drag-and-drop. I'm not sure whether that has any significant advantages but 
>> may be of interest until such time as a charting plugin becomes available.
>>
>> bw
>>
>> Peter
>>
>> On Wednesday, March 4, 2015 at 3:09:45 PM UTC, Peter Miller wrote: 
>>>
>>> I don't know how long it will be there but RAW at 
>>> http://app.raw.densitydesign.org/ provides some nice visualizations and 
>>> specimen data. The exported SVG plays nicely with TiddlyWiki as far as I 
>>> can tell though I've yet to work out how to make it editable in SVG-Edit.
>>>  
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