Visualize Data

Job: see what your workflow produced before you hand it to sales, marketing, or ops. The SDK is not only for enrichment. It should help you answer:

Start with an output CSV

Most workflows should write an output file:

deepline plays run weekly-new-accounts.play.ts \
  --csv accounts.csv \
  --watch

deepline runs export <run-id> --out output/accounts-enriched.csv

Open the file first. You are looking for boring things:

Check	Why
row count	Make sure no records disappeared
segment	Know which workflow path each account took
signal columns	See why the account is interesting
owner or next step	Confirm where the record goes next
error/review columns	Separate good output from uncertain output

Use this when you want a fast view before building anything permanent.

import pandas as pd

df = pd.read_csv("output/accounts-enriched.csv")
print(df["segment"].value_counts())
print(df["next_step"].value_counts())

That is enough to answer: “Did this workflow find the kind of accounts we wanted?”

View	Useful when
accounts by segment	You route enterprise and mid-market differently
titles by seniority	VPs and directors get different plays
signal by source	You want to know which signal found the account
output by owner	You are sending tasks to Salesforce
failed rows	You need a human review queue

Recommended folder shape:

workflows/
  weekly-new-accounts.play.ts
  input/accounts.csv
  output/accounts-enriched.csv
  output/accounts-summary.csv

The workflow creates the enriched list. The summary tells your team what changed.