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Analyzing and exporting a Reference dataset

Getting there

Via the command bar

To analyze a dataset, click on  Analyze in the command bar. This will take you to the default dataset selected in your account's settings. If you are currently viewing the Record Data page for a dataset, however, it will take you to that same dataset's Analyze page instead.

Navigating to the Analyze Data page via the command bar


Via the homepage

In the Shortcuts box, select a dataset from the  Analyze Data In dropdown.

Navigating to the Analyze Data page via the homepage shortcuts


Via the Datasets page

Click on a dataset's Analyze Data () button in the Actions column.

Navigating to the Analyze Data page via the Datasets page


Analyzing LibAnswers and aggregate data

Generating reports

  1. Select the date range you want to analyze.
  2. Click the Go button.

Example of generating a report 


Overview

The Overview report provides you with a breakdown of your total reference transactions over time. This includes a chart that can display transactions by day, month, or year, and a data table with the raw totals for each month.


Distribution

The Distribution report allows you to individually analyze your SMS, Tickets, Chats, or FAQ Views. For each, you can see the distribution of your data by day of the week, weekday vs. weekend, and by month.

  1. Select the variable you want to analyze (SMS, Tickets, Chats, or FAQ Views).
  2. Click the Show Distribution button.

Trends

The Trends report allows to see how the totals of your SMS, Tickets, Chats, and FAQ Views have changed over time. You can create charts to visualize trends in your data for the past 2 years, 3 years, 5  years, or even 10 years (if you have that much data!). In addition, you'll get a data table with each year's totals, with the ability to see year-over-year changes and the percentage change against the first year of the report.

Before running your report, make sure that you've selected a date range of one year or less. You can even use partial years, which can allow you to compare the same date range over the past several years. This can be useful, for example, if you want to compare just Fall Semester data over the past 5 years.

  1. Select the time period you want to compare against. This will be determined based upon the dates selected in your report. For example, if you generated a report from January 1, 2016, to December 31, 2016, and choose the last 2 years, then the Trends report will give you a comparison of January 1, 2015, to December 31, 2015, and your 2016 data.
  2. Click the Show Trends button to generate the report.
  3. Click on the Toggle Trend Details option above the table to view year-over-year comparisons.

Analyzing individual transactions

Generating reports

  1. Modify the From and To dates to set the date range for your report. The default dates will be set according to what your LibInsight admin selected as the Financial Year Dates in your system settings. You can also limit to specific days of the week, hours of the day, and duration.
  2. If you'd like, you can use the Entered By filter to view only those records entered by a specific person.
  3. Use the sorting dropdown to choose how the records will be sorted (the default is Date Descending).
  4. Optionally, you can filter your report by field value.
    1. Use the Add Filter dropdown to configure your filter.
    2. When finished configuring a filter, don't forget to click Add this Filter to apply it to your report.
      • Please note that you can only add one filter per single select or multi select field.
      • To select multiple values for a single select or multi select field, press CTRL + click on each option in the list.
    3. Some datasets will have an option allowing you to Save Report Filters. If you commonly apply the same filters to your fields, this can save you a lot of time in the future.
    4. To apply your saved filters, click on the Saved Report Filters link.
    5. To remove all of your filters, click on the Clear All Filters button.
  5. Click on the Generate Report button to run the report. Once finished, you'll be able to review the available reports for your particular dataset.

Example of generating a report


Data grid

The Data Grid provides a complete list of records included in your report. From this view, records can also be edited and deleted. Admins have the ability to edit or delete any record. All other users can only edit or delete the records that they've entered.

  1. Click on the Edit () button in the Actions column to edit a record.
  2. To delete an individual record, click on the Delete () button in the Actions column.
  3. To delete multiple records at once:
    1. Click on the checkbox for each record to delete.
    2. Or, to delete all records on the page, click on the Check All checkbox at the bottom of the page.
    3. Click on the red  Delete Checked button. (NOTE: this is permanent so be careful!)

Field Analysis

The Field Analysis report allows provides you with an in-depth look at the responses for individual fields.

  1. You can create charts to break down responses for any single-select, multi-select, or scale field.
  2. You can also analyze fields by group, which will break down each field of a certain type (such as all of your select fields). This will show you the total count of responses for a particular field option, as well as its percentage of the total responses for that field.

Time-based analysis

The Time-Based Analysis report allows you to track your data over time. This can include the total number of entries added to your dataset, as well as sum of Numeric fields and distribution of Select fields. You can analyze data by year, month, day, or hour. However, please note:

  • If analyzing data by day, be sure your report's date range is limited to one year or less of data.
  • If analyzing data by hour, be sure your report's date range is limited to seven or fewer days of data.

Duration

If your dataset includes both a Start Timestamp and End Timestamp, the Duration report will allow you to analyze the duration of each record. This includes:

  • The sum of all durations
  • The minimum and maximum durations
  • The average duration
  • The top 10 longest and shortest durations (with links to each corresponding record)

Distributions

The Distributions report provides you with a breakdown of your data by:

  • Year
  • Month
  • Day of the week
  • Weekday vs. weekend
  • Hour of the day
  • Day and hour
  • The Entered By user

Cross Tab Report

The Cross Tab Report allows you to compare the relationship between two fields.

  1. Select the field you want to display in each row.
  2. Select the field you want to display in each column.
  3. Click the Show Distribution button.

In the example report below, you'll see the number of instruction sessions taught by department and room. 


Trends

The Trends report allows to see how the totals of your numeric data has changed over time. You can create charts to visualize trends in your data for the past 2 years, 3 years, 5  years, or even 10 years (if you have that much data!). In addition, you'll get a data table with each year's totals, with the ability to see year-over-year changes and the percentage change against the first year of the report.

Before running your report, make sure that you've selected a date range of one year or less. You can even use partial years, which can allow you to compare the same date range over the past several years. This can be useful, for example, if you want to compare just Fall Semester data over the past 5 years.

  1. Select which numeric fields to analyze.
  2. Select the time period you want to compare against. This will be determined based upon the dates selected in your report. For example, if you generated a report from January 1, 2016, to December 31, 2016, and choose the last 2 years, then the Trends report will give you a comparison of January 1, 2015, to December 31, 2015, and your 2016 data.
  3. Click the Show Trends button to generate the report.
  4. Click on the Toggle Trend Details option above the table to view year-over-year comparisons.

Export data

The Export Data tab is where you can export the data of your current analysis to a CSV file. This will only include the filtered records in your report. If you want to export all of your dataset's data, therefore, make sure that you set your date filters to include all of your records.

Once you're ready, just click on the  Export Data Into CSV button to download the data.

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