Great work. Very handy for identifying problems
thanks
On Tuesday 21 May 2024 at 18:12:15 BST, Mich Talebzadeh
wrote:
A colleague kindly pointed out about giving an example of output which wll be
added to README
Doing analysis for column Postcode
Json formatted output
{ "Postcode":
A colleague kindly pointed out about giving an example of output which wll
be added to README
Doing analysis for column Postcode
Json formatted output
{
"Postcode": {
"exists": true,
"num_rows": 93348,
"data_type": "string",
"null_count": 21921,
"null_
I just wanted to share a tool I built called *spark-column-analyzer*. It's
a Python package that helps you dig into your Spark DataFrames with ease.
Ever spend ages figuring out what's going on in your columns? Like, how
many null values are there, or how many unique entries? Built with data
prepa
