THE TELEMETRY GAP CHECK
Beginner
Difficulty: Easy Tags: Data Processing
Story
A Databricks ETL job needs to flag which columns have missing telemetry before any imputation or modeling touches the table: the single most common first step in any real data pipeline.
The Problem
No math here: count missing (NA) entries per column.
Input Format
n k
col_1_name ... col_k_name
row_1 (k values, `NA` denotes missing)
...
row_n
Output Format
col_name missing_count, one line per column, in the given column order.
Constraints
1 <= n <= 10^5,1 <= k <= 100- Time limit: 1.0 second.
Example
Input
4 2
a b
1 NA
NA NA
3 1
NA 2
Output
a 2
b 2
Keywords
data-processing
Python
Run your code to see results
No results yet
Run your code to check it against the examples, or submit to run every test.