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Data Discovery: Dos and Don’ts

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When? This feed was archived on July 11, 2022 15:33 (2y ago). Last successful fetch was on June 10, 2022 18:29 (2y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

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Manage episode 277393405 series 2801595
Content provided by Data Rocks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Rocks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode I’ll discuss some keys to remember when examining a dataset for the first time.
Timeline:
02:25 - Do #1 - Look at your data carefully
05:32 - Don’t #1 - Don’t try to bite off too much
07:32 - Do #2 - Look for patterns and trends
10:15 - Do #3 - Consider the data source
13:13 - Do #4 - Identify blind spots in your data
15:22 - Don’t #2 - Don’t include incomplete or missing data
Survey of Data Workers:
https://community.useready.com/whitepapers/idc-infobrief-state-of-data-science-and-analytics/?auto-trigger
The Last Record:

  1. Look at the data carefully
    • Do you have all the fields that you will need?
    • Is it a number field? Is it text?
  2. Look for the patterns and trends
  3. Consider the source
    • Are there controls in your data?
    • Are you pulling from an outside source that may not always be available or updated?
  4. Identify the blind spots in your data
    • Think about the questions you can answer using this data.
    • Are there any limitations? If there are, you may need to supplement with additional data.
  continue reading

8 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on July 11, 2022 15:33 (2y ago). Last successful fetch was on June 10, 2022 18:29 (2y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 277393405 series 2801595
Content provided by Data Rocks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Rocks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode I’ll discuss some keys to remember when examining a dataset for the first time.
Timeline:
02:25 - Do #1 - Look at your data carefully
05:32 - Don’t #1 - Don’t try to bite off too much
07:32 - Do #2 - Look for patterns and trends
10:15 - Do #3 - Consider the data source
13:13 - Do #4 - Identify blind spots in your data
15:22 - Don’t #2 - Don’t include incomplete or missing data
Survey of Data Workers:
https://community.useready.com/whitepapers/idc-infobrief-state-of-data-science-and-analytics/?auto-trigger
The Last Record:

  1. Look at the data carefully
    • Do you have all the fields that you will need?
    • Is it a number field? Is it text?
  2. Look for the patterns and trends
  3. Consider the source
    • Are there controls in your data?
    • Are you pulling from an outside source that may not always be available or updated?
  4. Identify the blind spots in your data
    • Think about the questions you can answer using this data.
    • Are there any limitations? If there are, you may need to supplement with additional data.
  continue reading

8 episodes

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