I am a Python developer and new to JavaScript and Lightweight Charts.
I am noticing that all Lightweight Charts code samples use a JavaScript array to initialize chart data. My candle bar data reside in a database that I can export to one or more CSV files.
What are the practical options for Lightweight Charts to visualize data in CSV files or a database?
Related
I'm writing code for feature export report data, I used PhpSpreadsheet with TcfPdf library to export.
But when my data is huge (~10k rows, >80 cols) then output only one blank page.
I tried chunk data and export splitting to multiple files pdf (1.pdf, 2.pdf,...), then merged to one file using pdftk library but still no success.
Additional, if I export multiple columns, pdf did not view all those columns, because paper size of pdf is small.
Does anyone help me? What best solution for export huge data and what library I should use?
Thanks, everyone!
You should give a try to Laravel Snappy PDF
or my second favorite DOMPDF
But for large data I definitely recommend Laravel Snappy PDF
I am trying to use my own data set for the mind-gapper motion chart reproduced by Mike Bostock at https://bost.ocks.org/mike/nations/
He uses a JSON data file from https://bost.ocks.org/mike/nations/nations.json
I have a data file having food trends in an excel file and I'm wondering what is the best approach to converting excel file into the appropriate JSON format?
How did Mike originally do this? I presume that he had an excel file originally?
It depends on the structure of the data in your csv, but I use online tools like this one: http://www.convertcsv.com/csv-to-json.htm
I have a bunch of data in .csv format in Hadoop HDFS in several GBs.i have Flight data on one airport. there are different delays like carrier delay, weather delay. NAS delay etc
I want to create a dashboard that reports on the contents in there e.g maximum delay on particular route, maximum delay flight wise etc.
I am new to hadoop world.
thnak you
You can try Hive. Similar like SQL.
You can load the data from HDFS into tables using simple create table statements.
Hive also provides in-built functions which you can exploit to get the necessary results.
Many Data Visualizations tools are available, some commonly used are
Tableau
Qlik
Splunk
These tools provide us capabilities to create our own dashboard.
How can one export filtered data to csv or excel format?
This will give me all the current filtered data:
dim.top(Infinity)
Need help pushing the data back to the server and then pushing it to csv/excel or doing everything client side.
Any ideas would be appreciated.
This isn't really a dc.js question. There isn't anything built into dc.js or d3.js to write data into csv or json format, probably because writing formats is easier than parsing.
Take a look at, for example:
How to export JavaScript array info to csv (on client side)?
and its correction (it apparently has a bug) here:
JavaScript array to CSV
I don't know if there are libraries to do this. It's not very complicated to write by hand.
EDIT: I wasn't aware that d3 does have CSV output as well:
https://github.com/mbostock/d3/wiki/CSV#format
I have multiple excel files with two types of metadata, Now i have to push the data into two different tables based on metadata of excel files using SSIS.
There are many, many different ways to do this. You'd need to share a lot more information on how your data is structured to really give a great answer, but here's the general strategy I'd suggest.
In the control flow tab, have a separate data flow for each Excel file. The data flows will all work the same, with the exception of having a different Excel source in each data flow, so it will be enough to get the first version working and then copy and paste for the other files.
In the data flow, use a conditional split transformation to read the metadata coming from Excel and send the row to the correct table.
If you really want to be fancy, however, you could create a child package that includes all your data flow logic. Using the Execute Package Task you can pass the Excel file name to the child package for each Excel file you need to import. This way you consolidate your logic in one package and can still import from multiple Excel files in parallel.