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1 | Description | Subject Area | Code / Path | Documentation | Notes | Source |
2 | Alternate table row shading | All | Results tab > Select top right pencil icon > Select Table View Properties > Check Row styling: Enable alternate styling | Analytics - How to make the alternate rows of a table be shaded in an Alma Analytics table | ||
3 | "-1" result | All | REPLACE("Bibliographic Details"."MMS Id" , '-1', 'None') | Analytics displays null values as "-1." Swaps in "None" for more understandable reporting. | ALMA-L: Nazzareno Bedini Feb. 21st, 2020 | |
4 | Barcode length check | Physical Items | LENGTH("Physical Item Details"."Barcode") Use 2 barcode columns. Select the dropdown in the first column > Edit formula > Select > String > Length. Filter on the 1st column > 14 OR < 14 | Use for any dimension with a prescribed number of characters by changing the filter values. e.g. Users Subject Area: barcode or Primary ID. | Brian Moore | |
5 | Extract OCLC# from Network Number | (Bibliographic Details Shared Dimension) | Evaluate('regexp_substr(%1,''[0-9]+'', 1,1)',REPLACE(LEFT(SUBSTRING("Bibliographic Details"."Network Number" FROM LOCATE('(OCoLC)o',"Bibliographic Details"."Network Number")),LOCATE(' ', SUBSTRING(CONCAT("Bibliographic Details"."Network Number",'; ') FROM LOCATE('(OCoLC)o',"Bibliographic Details"."Network Number")))),';','')) | Works on any concatenated field e.g., ISBN, ISSN | ||
6 | Extract hour from transaction time | All | SUBSTRING("Loan Date"."Loan Time" FROM 0 FOR 2) Edit formula > string > substring From 0 for 2 > chng heading to “Loan Hour” | Time format = hh:mm:ss To extract minutes - FROM 3 FOR 2 | Megan Drake | |
7 | Convert text number to an integer | Users | e.g. To extract migrated TOT CHECKOUT (Millennium/Sierra) circ activity from the Note field for use in calculations CAST(SUBSTRING("Note"."Note" FROM 12 FOR 5) AS int) | Use SUBSTRING to remove the "TOT CHKOUT: " from the Note field, CAST to convert the remaining characters into an integer. | Brian Moore | |
8 | Extract portion of a text string | All | ● SUBSTRING("dimension"."field" FROM n FOR n) e.g. To shorten the title Laws related to Securities Commission, exchanges and holdings companies to the first 45 characters SUBSTRING("Bibliographic Details"."Title" FROM 1 FOR 45) ● SUBSTRING("dimension"."field" FROM LOCATE('string to locate', "dimension"."field")+n FOR n) e.g. To extract the 8 character date from the Statistics Note field No. Loans: 003 | LastDateReturn: 20090915 SUBSTRING("Physical Item Details"."Statistics Note 2" FROM LOCATE('LastDateReturn: ',"Physical Item Details"."Statistics Note 2")+16 FOR 8) | Rogers, Mike (2016) Tips & Tricks for Alma Analytics. In: ELUNA 2016 Annual Meeting, May 1-6, 2016, Oklahoma City, OK USA. | ELUNA 2016 presentation | |
9 | Wildcards | All | e.g., Title is LIKE (pattern match) %�% Permanent Call Number is LIKE (pattern match) BF205_ .% | Useful for 'LIKE' and 'NOT LIKE' pattern matching filters. % = multiple characters _ = single character | Brian Moore | |
10 | Find corrupt diacritics in Bibliographic records | Titles (or Bibliographic Details Shared Dimension) | Filter on: Lifecycle is equal to / is in In Repository AND Title is LIKE (pattern match) %&#x% OR Uniform Title is LIKE (pattern match) %&#x% OR Author is LIKE (pattern match) %&#x% OR Edition is LIKE (pattern match) %&#x% OR Series is LIKE (pattern match) %&#x% OR Publisher is LIKE (pattern match) %&#x% OR Publication Place is LIKE (pattern match) %&#x% OR Title is LIKE (pattern match) %�% OR Uniform Title is LIKE (pattern match) %�% OR Author is LIKE (pattern match) %�% OR Edition is LIKE (pattern match) %�% OR Series is LIKE (pattern match) %�% OR Publisher is LIKE (pattern match) %�% OR Publication Place is LIKE (pattern match) %�% | Be sure to include leading and trailing wildcards (%) in the filters! | Brian Moore | |
11 | Rolling time queries (e.g., last 3 mos., transaction/status date > 1 mo. etc.) | All | TIMESTAMPADD (SQL_TSI_DAY, -90, CURRENT_DATE) TIMESTAMPADD(SQL_TSI_YEAR, -1, CURRENT_DATE) Filter > Add More Options > SQL Expression | Oracle BIEE Calendar Date/Time Functions | ExL introduced pre-defined relative date filters in certain date measures in 2019. | |
12 | Funds Overview formulae | Funds Expenditure | ● Fund Allocation: IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ALLOCATION')), 0) ● Cash Balance: IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ALLOCATION')), 0) - IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'EXPENDITURE')), 0) ● Funds Available: IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ALLOCATION')), 0) – (IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'EXPENDITURE')), 0) + IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ENCUMBRANCE')), 0)) ● Percent Remaining (Based on Expenditures): ((IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ALLOCATION')), 0) – IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'EXPENDITURE')), 0)) / IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ALLOCATION')), 0)) * 100 ● Percent Remaining (Based on Expenditures & Encumbrances): ((IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ALLOCATION')), 0) - (IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'EXPENDITURE')), 0) + IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ENCUMBRANCE')), 0))) / IFNULL(FILTER("Fund Transactions"."Transaction Amount" USING ("Fund Transaction Details"."Transaction Item Type" = 'ALLOCATION')), 0)) * 100 | Rogers, Mike (2019) Off-the-Grid Reporting: A Few Handy Reports in Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
13 | Calculate Fund Percentages Concept: ((Encumbrance + Expenditure) / Allocation) * 100 | Funds Expenditure | Formula: (IFNULL(FILTER("Fund Transactions"."TransactionAmount" USING ("Fund Transaction Details"."TransactionItem Type" = 'ENCUMBRANCE')), 0) + IFNULL(FILTER("Fund Transactions"."TransactionAmount" USING ("Fund Transaction Details"."TransactionItem Type" = 'EXPENDITURE')), 0)) / IFNULL(FILTER("Fund Transactions"."TransactionAmount" USING ("Fund Transaction Details"."TransactionItem Type" = 'EXPENDITURE')), 0)) / IFNULL(FILTER("Fund Transactions"."TransactionAmount" USING ("Fund Transaction Details"."TransactionItem Type" = 'ALLOCATION')), 0) * 100 | Jones, Julene L. and Willemsen, Mary Ellen (2019) Carpe Data with Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
14 | Pulling specific numbers from a field | Physical Items | CASE WHEN "Physical Item Details"."Statistics Note 2" IS NOT NULL THEN CAST(SUBSTRING("Physical Item Details"."Statistics Note 2" FROM 12 FOR 3) as INT) ELSE CAST('0' as INT) END | Rogers, Mike (2019) Off-the-Grid Reporting: A Few Handy Reports in Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | Basically, we are telling Analytics, “If the field isn’t null, start at the 12th character and extract the next three characters as an integer; if it is null, then cast ‘0’ as an integer” | ELUNA 2019 presentation |
15 | Adding loans from your old ILS with your current total loans (old ILS stats in Statistics Note 2 in this case) | Physical Items | CASE WHEN "Physical Item Details"."Statistics Note 2" IS NOT NULL THEN CAST(SUBSTRING("Physical Item Details"."Statistics Note 2" FROM 12 FOR 3) as INT) ELSE CAST('0' as INT) END + "Physical Item Details"."Num of Loans" | Rogers, Mike (2019) Off-the-Grid Reporting: A Few Handy Reports in Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
16 | Remove leading or trailing data from a text string | All | TRIM(LEADING 'trim_text' FROM "dimension"."field") TRIM(TRAILING 'trim_text' FROM "dimension"."field") e.g. Remove the trailing slash from the title field Handbook of environmental sociology / TRIM(TRAILING '/' FROM "Bibliographic Details"."Title") | Rogers, Mike (2016) Tips & Tricks for Alma Analytics. In: ELUNA 2016 Annual Meeting, May 1-6, 2016, Oklahoma City, OK USA. | Note the use of single quotes. | ELUNA 2016 presentation |
17 | Pulling OCLC number from Network Number field | (Bibliographic Details Shared Dimension) | TRIM(TRAILING '.' FROM TRIM(TRAILING ';' FROM TRIM(TRAILING ' ' FROM TRIM(TRAILING '(' FROM SUBSTRING("Bibliographic Details"."Network Number" FROM LOCATE('(OCoLC)', "Bibliographic Details"."Network Number") FOR 16))))) | Rogers, Mike (2019) Off-the-Grid Reporting: A Few Handy Reports in Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
18 | Pulling OCLC number from Network Number field (Example using CASE and SQL) | (Bibliographic Details Shared Dimension) | CASE WHEN UPPER("Bibliographic Details"."Network Number") LIKE '%OCOLC%' THEN REPLACE(LEFT(SUBSTRING("Bibliographic Details"."Network Number" FROM LOCATE('(OCOLC',UPPER("Bibliographic Details"."Network Number"))),LOCATE(' ', SUBSTRING(CONCAT("Bibliographic Details"."Network Number",'; ') FROM LOCATE('(OCOLC',UPPER("Bibliographic Details"."Network Number"))))),';','') WHEN UPPER("Bibliographic Details"."Network Number") LIKE '%OCM%' THEN REPLACE(LEFT(SUBSTRING("Bibliographic Details"."Network Number" FROM LOCATE('OCM',UPPER("Bibliographic Details"."Network Number"))), LOCATE(' ', SUBSTRING(CONCAT("Bibliographic Details"."Network Number",'; ') FROM LOCATE('OCM',UPPER("Bibliographic Details"."Network Number"))))),';','') WHEN UPPER("Bibliographic Details"."Network Number") LIKE '%OCN%' THEN REPLACE(LEFT(SUBSTRING("Bibliographic Details"."Network Number" FROM LOCATE('OCN',UPPER("Bibliographic Details"."Network Number"))), LOCATE(' ', SUBSTRING(CONCAT("Bibliographic Details"."Network Number",'; ') FROM LOCATE('OCN',UPPER("Bibliographic Details"."Network Number"))))),';','') WHEN UPPER("Bibliographic Details"."Network Number") LIKE '%ON%' THEN REPLACE(LEFT(SUBSTRING("Bibliographic Details"."Network Number" FROM LOCATE('ON',UPPER("Bibliographic Details"."Network Number"))), LOCATE(' ', SUBSTRING(CONCAT("Bibliographic Details"."Network Number",'; ') FROM LOCATE('ON',UPPER("Bibliographic Details"."Network Number"))))),';','') ELSE 'No OCLC Number Available' END | Cooper, Alexander and Hamlett, Lisa (2017) Alma, Analytics, and API all the things: Producing custom automated features in a SAAS environment. In: ELUNA Developers Day 2017, May 9, 2017, Schaumburg, Illinois. | ELUNA 2017 presentation | |
19 | Pulling OCLC number from Network Number field (Example using CASE and Regular Expressions) | (Bibliographic Details Shared Dimension) | CASE WHEN EVALUATE('regexp_substr(%1,''OCOLC'')',(UPPER("Bibliographic Details"."Network Number"))) IS NOT NULL THEN EVALUATE('regexp_substr(%1,''OCOLC+[0-9()]+'')',(UPPER("Bibliographic Details"."Network Number")))WHEN EVALUATE('regexp_substr(%1,''OCN'')',(UPPER("Bibliographic Details"."Network Number"))) IS NOT NULL THEN EVALUATE('regexp_substr(%1,''OCN+[0-9]+'')',(UPPER("Bibliographic Details"."Network Number"))) WHEN EVALUATE('regexp_substr(%1,''OCM'')',(UPPER("Bibliographic Details"."Network Number"))) IS NOT NULL THEN EVALUATE('regexp_substr(%1,''OCM+[0-9]+'')',(UPPER("Bibliographic Details"."Network Number"))) WHEN EVALUATE('regexp_substr(%1,''ON'')',(UPPER("Bibliographic Details"."Network Number"))) IS NOT NULL THEN EVALUATE('regexp_substr(%1,''ON+[0-9]+'')',(UPPER("Bibliographic Details"."Network Number"))) ELSE 'No OCLC Number Available' END | Hamlett, Lisa (2019) "And You Thought You Were Nerdy!": Fun With Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
20 | Date Filter Formulas (Relative Year, Month, Week, Day) | All | ● 3 years in the future: TIMESTAMPADD(SQL_TSI_YEAR, 3, CURRENT_DATE) ● 4 months ago: TIMESTAMPADD(SQL_TSI_MONTH, -4, CURRENT_DATE) ● 5 weeks ago: TIMESTAMPADD(SQL_TSI_WEEK, -5, CURRENT_DATE) ● 6 days in the future: TIMESTAMPADD(SQL_TSI_DAY, 6, CURRENT_DATE) | Jones, Julene L. and Willemsen, Mary Ellen (2019) Carpe Data with Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
21 | Date Filter Formulas (Relative Year, Month, Week, Day) | Fulfillment | ● All loans in the last 14 days: "Loan Date"."Loan Date" >= TIMESTAMPADD(SQL_TSI_DAY, -14, CURRENT_DATE) ● All loans in the last 2 years: "Loan Date"."Loan Date" >= TIMESTAMPADD(SQL_TSI_YEAR, -2, CURRENT_DATE) ● All loans in the last 3 months: "Loan Date"."Loan Date" >= TIMESTAMPADD(SQL_TSI_MONTH, -3, CURRENT_DATE) ● All loans in the last week: "Loan Date"."Loan Date" >= TIMESTAMPADD(SQL_TSI_WEEK, -1, CURRENT_DATE) | Wolfe, Margaret Briand (2018) Alma Analytics – Tips & Tricks. In: Ex Libris Northeast Users Group Conference, October 11-12, 2018, SUNY University of Albany. | ELUNA 2018 presentation | |
22 | Date Filter Formulas (Relative Day of Month/Year) | All | ● First day of last month: TIMESTAMPADD(SQL_TSI_MONTH, -1, TIMESTAMPADD(SQL_TSI_DAY, DAYOFMONTH(CURRENT_DATE) * -(1) + 1, CURRENT_DATE)) ● Last day of last month: TIMESTAMPADD( SQL_TSI_DAY, -(1), TIMESTAMPADD(SQL_TSI_DAY, DAYOFMONTH(CURRENT_DATE) * -(1) + 1, CURRENT_DATE)) ● First day of current calendar year: TIMESTAMPADD(SQL_TSI_YEAR, 0, TIMESTAMPADD(SQL_TSI_DAY, DAYOFYEAR(CURRENT_DATE) * -(1) + 1, CURRENT_DATE)) | Hamlett, Lisa (2019) "And You Thought You Were Nerdy!": Fun With Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
23 | Year to Date (YTD) | Fulfillment | Select Filter from the Loan Date column > Convert this filter to SQL > Enter "Loan Date"."Loan Date" >= TIMESTAMPADD(SQL_TSI_YEAR, 0, TIMESTAMPADD(SQL_TSI_DAY, DAYOFYEAR(CURRENT_DATE) * -(1) + 1, CURRENT_DATE)) | Excellent example of a recursive formula. | Natasha Allen | |
24 | Year to Date (YTD) | Fulfillment | Select Loan Year from the Loan Date dimension and filter to the current year. | Laura Krier | ||
25 | 852 formula to get only the i and h subfields | Physical Items | CONCAT(REPLACE(Evaluate('regexp_substr(%1,''\$\$h[^\$]+'', 1,1)',"Holding Details"."852 MARC"), '$$h ', ''), REPLACE(Evaluate('regexp_substr(%1,''\$\$i[^\$]+'', 1,1)',"Holding Details"."852 MARC"), '$$i', '')) | Jones, Julene L. and Willemsen, Mary Ellen (2019) Carpe Data with Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
26 | Date filter on Usage Data for last 5 weeks of data | Usage Data | FILTER("Usage Data Details"."JR1 -Journal Usage Counter (total)" USING ("Usage Date"."UsageDate" >= TIMESTAMPADD(SQL_TSI_WEEK, -5, CURRENT_DATE))) | Jones, Julene L. and Willemsen, Mary Ellen (2019) Carpe Data with Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
27 | Date Filter on last year's worth of circulations | Fulfillment | FILTER("Loan"."Loans(Not In House)" USING ("Fulfillment"."LoanDate"."LoanDate" >= TIMESTAMPADD(SQL_TSI_YEAR, -1, CURRENT_DATE))) | Jones, Julene L. and Willemsen, Mary Ellen (2019) Carpe Data with Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
28 | Parsing Call Numbers using Regular Expressions | (Bibliographic Details Shared Dimension) | ● Extract subject letter: Evaluate('regexp_substr(%1,''[A-z]+'')',"Holding Details"."Permanent Call Number") ● Extract subject number: Evaluate('regexp_substr(%1,''[0-9]+'')',Evaluate('regexp_substr(%1,''[A-z]+[0-9]+'')',"Holding Details"."Permanent Call Number")) ● Extract subject date: Evaluate('regexp_substr(%1,''([A-z])([0-9]+)\ ([0-9]+)'')',"Holding Details"."Permanent Call Number") ● Split call numbers based on a period followed by a letter. Split 1: REPLACE(Evaluate('regexp_substr(%1,''[^\.]+[^A-z]+'',1,1)',"Holding Details"."Permanent Call Number"),' .',‘’) Split 2: REPLACE(Evaluate('regexp_substr(%1,''[^\.]+[^A-z]+'',1,2)',"Holding Details"."Permanent Call Number"),' .',‘’) | Hamlett, Lisa (2019) "And You Thought You Were Nerdy!": Fun With Alma Analytics. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA. | ELUNA 2019 presentation | |
29 | Replace or remove text | All | REPLACE ("dimension"."field",'some text','something else') e.g. To remove subfields from call number $$hPN1005.B5$$iH45 2006 REPLACE(REPLACE("Loan Details"."Call Number",'$$h',''),'$$i','') | Rogers, Mike (2016) Tips & Tricks for Alma Analytics. In: ELUNA 2016 Annual Meeting, May 1-6, 2016, Oklahoma City, OK USA. | ELUNA 2016 presentation | |
30 | Set up an Alma Analytics report that will give you details of all the items attached to an MMSID using barcode prompt. | Use Selection Steps (which should be at the bottom of your Results screen). Find your MMS ID column in the Steps pane, and add a step with Apply a Condition. The Condition Type will be “All X values where Y = values”. Make the Action Keep only of MMS ID. Under Column, select the Barcode field. You do have to enter a default value, but you can also select Override with Prompt. Then set up your prompt for the Barcode field, and you should get the results you want. | [ALMA-L] Analytics - Use barcode prompt find all items attached to the associated MMSID (question answered by Lachlan Young, UNSW, Australia) | ALMA-L login required to view original. | ALMA-L | |
31 | Combine text strings | All | Use concatenation (||) ("dimension"."field"||"dimension"."field") e.g. To combine last name & first name into a single column "User Details"."Last Name"||', '||"User Details"."First Name" | Rogers, Mike (2016) Tips & Tricks for Alma Analytics. In: ELUNA 2016 Annual Meeting, May 1-6, 2016, Oklahoma City, OK USA. | Note the use of single quotes to separate the data fields with comma and space characters. | ELUNA 2016 presentation |
32 | Identity unique or intersecting values in a query | All | Use MINUS / UNION MINUS queries ... • Subtract the results of one query from another • Require that the columns selected in both queries must be identical UNION queries ... • Combine the results of two separate queries into one results set • Require that the columns selected in both queries must be identical • Exclude duplicate rows (although, a UNION ALL query does include duplicate rows) | Rogers, Mike (2016) Tips & Tricks for Alma Analytics. In: ELUNA 2016 Annual Meeting, May 1-6, 2016, Oklahoma City, OK USA. | An excellent explanation is demonstrated at the end of the presentation. | ELUNA 2016 presentation |
33 | Retrieve data using a barcode prompt / Barcode query for all copies | All | Use Selection Steps (bottom of Results screen). Find MMS ID column in the Steps pane, add a step with Apply a Condition. Condition Type = “All X values where Y = values”. Action Keep only: MMS ID. Under Column, select the Barcode field. You must enter a default value, but you can also select Override with Prompt. Then set up your prompt for the Barcode field, and you should get the results you want. | How to - An example of using Selection Steps in Alma Analytics to gather all loans for a title by one barcode | ALMA-L | |
34 | Setup weekly bins for Circ stats using CASE function | Fulfillment | Fulfillment SA > Loan Date: Loan Week Number > Edit Formula > Bins tab | Spring 2020 bins for circulation | Christina Hennessey | |
35 | Substitute "human readable" campus name for Institution Code | All | CASE "Institution"."Institution Code" WHEN '01CALS_UBA' THEN 'Bakersfield' WHEN '01CALS_UCI' THEN 'Channel Islands' WHEN '01CALS_CHI' THEN 'Chico' WHEN '01CALS_UDH' THEN 'Dominguez Hills' WHEN '01CALS_UHL' THEN 'East Bay' WHEN '01CALS_UFR' THEN 'Fresno' WHEN '01CALS_FUL' THEN 'Fullerton' WHEN '01CALS_HUL' THEN 'Humboldt' WHEN '01CALS_ULB' THEN 'Long Beach' WHEN '01CALS_ULA' THEN 'Los Angeles' WHEN '01CALS_MAL' THEN 'Maritime' WHEN '01CALS_UMB' THEN 'Monterey Bay' WHEN '01CALS_MLM' THEN 'Moss Landing' WHEN '01CALS_UNO' THEN 'Northridge' WHEN '01CALS_PUP' THEN 'Pomona' WHEN '01CALS_USB' THEN 'San Bernardino' WHEN '01CALS_SDL' THEN 'San Diego' WHEN '01CALS_SFR' THEN 'San Francisco' WHEN '01CALS_SJO' THEN 'San Jose' WHEN '01CALS_PSU' THEN 'San Luis Obispo' WHEN '01CALS_SOL' THEN 'Sonoma' WHEN '01CALS_UST' THEN 'Stanislaus' WHEN '01CALS_USL' THEN 'Sacramento' WHEN '01CALS_USM' THEN 'San Marcos' ELSE 'Other' END | |||
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