title: How load huge data json in jupyter on VSCode
body: <p>I'm doing a sentiment analysis for my master's degree and i'm working with jupyter nootebook on VSCode on Ubuntu 20.04. I have a problem: when I try to load my file (12gb) my kernel dieds. So I splitted my file into 6 of 2 gb each, but also in this case I can't load all file to create a dataframe in order to work with it. So i would to ask how can I load each file, create a database and then storage all together into one dataframe to work with it?
  I tried to load one file in this way:</p>
  <pre><code>import pandas as pd
  
  filename = pd.read_json(&quot;xaa.json&quot;, lines=True, chunksize= 200000)
  </code></pre>
  <p>and in this case the kernel didn't die. From this point, how could I save this filename into a dataframe? I know that in this way I splitted one file into many files of 200000 lines, but I don't know how storage all this chunks into a first dataframe.
  Thank you for the attention and I'm sorry for the banal question.</p>