Is it possible to make Power BI read JSON data? I've spent an entire day yesterday to figure out how to convert the JSON data into a readable table in Power Bi, but with no luck.
I tried googling for hours, but there is no proper documentation anywhere.
I'm retrieving a JSON payload from my website and when I try to import, it shows the data like this:
Record
Record
Record
Record
Maybe there are any tutorials I can follow? Or perhaps another alternative to Power BI that would properly read and structure my JSON data?
As mentioned in comments, just besides each Record (if headers), are you able to see any small box with two arrows, try clicking it.
This Answer may help now..
First We have to convert this to table ->Click on the Icon in top left corner
Properties window will open. dont change anything Click on Ok.Now you can see the list converted to Column.
There is an arrow icon in the column -> Click on it
Main Step :In the property window uncheck "use original column name as prefix"
Here we go You can now use this result !
Refer Below Links :
https://www.mssqltips.com/sqlservertip/4621/using-power-bi-with-json-data-sources-and-files/
https://www.dutchdatadude.com/loading-multiple-json-files-using-power-query/
Retrieving data from a .json file brings in 'Records'. Each row of data is returned as a 'Record' which is a List. Each record in 'Records' is a hyperlink that opens the row elements. You could convert the 'Records' into a table, but you get a Table with a single column which has all the records with each record a row from the original JSON data.
Here is a link to few more details:
http://hodentekmsss.blogspot.com/2016/11/retrieving-json-data-in-power-bi.html
Related
desperate newbie here. I have a question for which I just cannot find the right solution. I received a dta file from which I want to extract the sub-headers of each column. Unfortunately, I am not versed in Stata or have access to it. I read my dta file into R and changed it to a data frame and also data table. It displays the column names and sub-headers well. However I cannot extract the sub-headers and they also disappear when I save the data frame or table as a csv or excel file locally. When I call colnames(df) or names(df), I only receive the column names and not the sub-headers. I also tried it with python without luck. Unfortunately, I am not allowed to share the data. So I hope my problem is understandable without an example. Thank you in advance!
Does anyone have an easy way to convert nested JSON to a flat SQL table? Just want to repeat the higher level data on each of the lower level detail. It looks like it can be done in mapping, I have tried as per the MS documentation but got a table full of NULL. Here is what I have tried and the result.
json
Option 1
Result: Only returns the first record of the ‘assignedLicences’
Option1
Option 2:
Returns multiple ‘assignedLicenses’ for each user, but only returns the first user id in each page.
Option2
Option3: as per the MS documentation
Result: returns all NULL values
Option3
You can have a try:
1.click import schemas button
2.if you have a JsonArray,select it.
3.you can directly see and edit the fields' JSON paths by opening Advanced editor .
Here is a Microsoft documentation about it.Please refer to this.
Hope this can help you.
I have about a hundred JSON files of data that I would like to be able to manipulate in Excel. The reason why there are so many files is that the API I pulled from limits responses to 50 items per request, so I chained 100 requests together in Postman and each request generated its own file.
The layout of each file is as follows:
{
"href": "dsjdsjds.com",
"total": 4293,
"next": "sdsadsads.com",
"prev": "dsjdjsdj.com",
"limit": 50,
"offset": 50,
"itemSummaries": [...]
}
Pretty much all of the data that I want lies inside the itemSummaries class.
I'm pretty new to this and not sure if the optimal way would be to use a Python script, or if there was a way to use VBA or something. I was thinking that I'd need to combine all of the data into a single file first, but I don't know how to do that either. I appreciate the help!
Here is what I did for similar situation where I had to import multiple JSON files, all with same structure.
Use Get & Transform in Data Ribbon to import the JSON file as text.
The Power Query will recognize this as JSON. Edit the result in Power
Query window and expand/transform the imported data until you can
show in tabular form.
You can then convert these manual sequence of
steps into Custom Function. See here for details -
https://www.poweredsolutions.co/2019/02/19/parameters-and-functions-in-power-bi-power-query-custom-functions/
Go back to Excel and this time instead of importing the JSON file, import the folder where all these JSON are available and apply your custom function on the individual JSON files to produce a consolidated table.
I found this article.
Import from JSON
Select Data > Get Data > From File > From Folder. The Browse dialog box appears.
Locate the folder containing the files you want to combine.
Note The message “No items match your search” means Power Query has found a folder and it’s displayed in the Folder name box. The files you want to combine are still in the folder, but just not visible.
A list of the files in the folder appears in the dialog box. Verify that all the files you want are listed.
Select one of the commands at the bottom of the dialog box, for example Combine > Combine & Transform. There are additional commands discussed in the section About all those commands.
The Power Query Editor appears.
The Value column is a structured List column. Select the Expand icon, and then select Expand to New rows.
The Value column is now a structured Record column. Select the Expand icon. A drop-down dialog box appears.
Keep all the columns selected. You may want to clear the Use original column name as a prefix check box. Select OK.
Select all the columns that contain data values. Select Home, the arrow next to Remove Columns, and then select Remove Other Columns.
Select Home > Close & Load.
Result
Power Query automatically creates a query to consolidate the data from each file into a worksheet. The query steps and columns created depend on which command you choose. For more information, see the section, About all those queries.
I know how to parse json cells in Open refine, but this one is too tricky for me.
I've used an API to extract the calendar of 4730 AirBNB's rooms, identified by their IDs.
Here is an example of one Json file : https://fr.airbnb.com/api/v2/calendar_months?key=d306zoyjsyarp7ifhu67rjxn52tv0t20¤cy=EUR&locale=fr&listing_id=4212133&month=11&year=2016&count=12&_format=with_conditions
For each ID and each day of the year from now until november 2017, i would like to extract the availability of this rooms (true or false) and its price at this day.
I can't figure out how to parse out these informations. I guess that it implies a series of nested forEach, but i can't find the right way to do this with Open Refine.
I've tried, of course,
forEach(value.parseJson().calendar_months, e, e.days)
The result is an array of arrays of dictionnaries that disrupts me.
Any help would be appreciate. If the operation is too difficult in Open Refine, a solution with R (or Python) would also be fine for me.
Rather than just creating your Project as text, and working with GREL to parse out...
The best way is just select the JSON record part that you want to work with using our visual importer wizard for JSON files and XML files (you can even use a URL pointing to a JSON file as in your example). (A video tutorial shows how here: https://www.youtube.com/watch?v=vUxdB-nl0Bw )
Select the JSON part that contains your records that you want to parse and work with (this can be any repeating part, just select one of them and OpenRefine will extract all the rest)
Limit the amount of data rows that you want to load in during creation, or leave default of all rows.
Click Create Project and now your in Rows mode. However if you think that Records mode might be better suited for context, just import the project again as JSON and then select the next outside area of the content, perhaps a larger array that contains a key field, etc. In the example, the key field would probably be the Date, and why I highlight the whole record for a given date. This way OpenRefine will have Keys for each record and Records mode lets you work with them better than Row mode.
Feel free to take this example and make it better and even more helpful for all , add it to our Wiki section on How to Use
I think you are on the right track. The output of:
forEach(value.parseJson().calendar_months, e, e.days)
is hard to read because OpenRefine and JSON both use square brackets to indicate arrays. What you are getting from this expression is an OR array containing twelve items (one for each month of the year). The items in the OR array are JSON - each one an array of days in the month.
To keep the steps manageable I'd suggest tackling it like this:
First use
forEach(value.parseJson().calendar_months,m,m.days).join("|")
You have to use 'join' because OR can't store OR arrays directly in a cell - it has to be a string.
Then use "Edit Cells->Split multi-valued cells" - this will get you 12 rows per ID, each containing a JSON expression. Now for each ID you have 12 rows in OR
Then use:
forEach(value.parseJson(),d,d).join("|")
This splits the JSON down into the individual days
Then use "Edit Cells->Split multi-valued cells" again to split the details for each day into its own cell.
Using the JSON from example URL above - this gives me 441 rows for the single ID - each contains the JSON describing the availability & price for a single day. At this point you can use the 'fill down' function on the ID column to fill in the ID for each of the rows.
You've now got some pretty easy JSON in each cell - so you can extract availability using
value.parseJson().available
etc.
I have a google chart and want to add a custom tooltip. I found some great answers like this this site and set about doing this with roles. I also found this link about it and it looked like the best way.
My data is being generated via json and I use a php file to create a json feed. The rows I have coded like this
{"cols": [ {"id":"","label":"Period","pattern":""},
{"id":"","label":"Recorded P/L","type":"number", "role":"data"} ,
{"id":"","label": null,"type":"string", "role":"tooltip"},
{"id":"","label":"Best Available P/L","type":"number", "role":"data"},
{"id":"","label": null,"type":"string", "role":"tooltip"}
]
Then it goes on and adds all the data. The problem is when I try to run this I get the error
All series on a given axis must be of the same data type
I have checked the json and that is formed correctly but am not sure what I could be doing wrong.
At least part of your problem is that you're not specifying the type for your first column.