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Quick and easy ways to create a data
dashboard
 Exploration of online tools that are cheap
(translation:free) and easy to use
 How to create a dashboard of statistics that
speak to stakeholders in your community
 Is it an interesting question? Who is asking
the question?
 Do you have the right data to answer these
questions?
 If you don’t have the data, do you know
where to get it?
 Do you have the right tools to do the
analyses?
 Who is your audience?
 When do you need to be done?
 Questions to ask:
◦ Does the data have the right information (fields)?
◦ Do you know what each of the values in the relevant
fields stand for?
◦ Is the time frame relevant to answering the
question?
◦ Is it relevant to the geographical area for which you
doing the analysis?
◦ How reliable is the data?
◦ Is it one data set or more than one?
◦ If multiple data sets, can you relate them?
◦ What are the privacy, legal and security concerns?
 For each data element ask the following
questions:
◦ Who collects this data?
◦ Why is this data being collected?
◦ Is there a reason for systematic bias in this data?
◦ Does this field contain a lot of missing data?
◦ Does this field contain a large number of outlier
values?
◦ Does the data make sense?
 Census (www.census.gov)
 NCES (nces.ed.gov)
 NAAL (http://nces.ed.gov/naal/)
 Other government open data projects
◦ Data.gov (http://www.data.gov/)
◦ NYC open data portal
(https://nycopendata.socrata.com/)
◦ NYS open data portal (https://data.ny.gov/)
◦ Data from other government entities (example:
School districts)
 What is your MIS system capable of?
◦ Existing reports (with and without dissaggregation)
◦ Downloads of existing reports
◦ Data downloads
◦ Reviewing data screens
 http://factfinder2.census.gov/faces/nav/jsf/
pages/index.xhtml
 Watch out for
◦ Outliers and invalid values
◦ Number of records that make sense
 Simple methods for cleaning your data
◦ Sorting in spreadsheets
◦ Frequency counts
 Validate against other sources
 Google Trends
◦ http://www.google.com/trends/
 Google correlate
◦ http://www.google.com/trends/correlate
 Google Fusion
 Google Ngram Viewer
◦ https://books.google.com/ngrams
 Tableau Public
◦ http://www.tableausoftware.com/public/
 Microsoft Excel
 Educational Attainment for Kings County
 Venu Thelakkat
◦ venut@lacnyc.org
◦ Adultedgps.blogspot.com

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Online tools for analyzing data coabe 2014

  • 1. Quick and easy ways to create a data dashboard
  • 2.  Exploration of online tools that are cheap (translation:free) and easy to use  How to create a dashboard of statistics that speak to stakeholders in your community
  • 3.  Is it an interesting question? Who is asking the question?  Do you have the right data to answer these questions?  If you don’t have the data, do you know where to get it?  Do you have the right tools to do the analyses?  Who is your audience?  When do you need to be done?
  • 4.  Questions to ask: ◦ Does the data have the right information (fields)? ◦ Do you know what each of the values in the relevant fields stand for? ◦ Is the time frame relevant to answering the question? ◦ Is it relevant to the geographical area for which you doing the analysis? ◦ How reliable is the data? ◦ Is it one data set or more than one? ◦ If multiple data sets, can you relate them? ◦ What are the privacy, legal and security concerns?
  • 5.  For each data element ask the following questions: ◦ Who collects this data? ◦ Why is this data being collected? ◦ Is there a reason for systematic bias in this data? ◦ Does this field contain a lot of missing data? ◦ Does this field contain a large number of outlier values? ◦ Does the data make sense?
  • 6.  Census (www.census.gov)  NCES (nces.ed.gov)  NAAL (http://nces.ed.gov/naal/)  Other government open data projects ◦ Data.gov (http://www.data.gov/) ◦ NYC open data portal (https://nycopendata.socrata.com/) ◦ NYS open data portal (https://data.ny.gov/) ◦ Data from other government entities (example: School districts)
  • 7.  What is your MIS system capable of? ◦ Existing reports (with and without dissaggregation) ◦ Downloads of existing reports ◦ Data downloads ◦ Reviewing data screens
  • 9.  Watch out for ◦ Outliers and invalid values ◦ Number of records that make sense  Simple methods for cleaning your data ◦ Sorting in spreadsheets ◦ Frequency counts  Validate against other sources
  • 10.  Google Trends ◦ http://www.google.com/trends/  Google correlate ◦ http://www.google.com/trends/correlate  Google Fusion  Google Ngram Viewer ◦ https://books.google.com/ngrams  Tableau Public ◦ http://www.tableausoftware.com/public/  Microsoft Excel
  • 11.  Educational Attainment for Kings County
  • 12.  Venu Thelakkat ◦ venut@lacnyc.org ◦ Adultedgps.blogspot.com