# ECON 770: Data Analytics for Economists | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ECON_770) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id e7b6274bb6eebd42157b635cbbb2343257be369b4649bf8b1b788907ca9ed344 ### course id ECON 770 ### course uid course\_7657616b432ed8fee5f3bdf3 ### catalog version id ab2b7b1df1496f7b70a3eda3887b69257b15eb2d3f5fe322f99f156a5313ce9d ### course number 770 ### subjects * ECON ### title DATA ANALYTICS FOR ECONOMISTS ### description Use core economic datasets such as the Panel Study on Income Dynamics, Consumer Expenditure Survey, National Income and Product Accounts, and the American Community Survey for quantitative economic research. Learn to clean and manipulate data to create datasets usable for economic research and to implement theory-based and atheoretic econometric models. ### requirements text Graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:296:025532 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 40ea167e457af14eef0bae1f188f3800013f9327c747a60688073d027c029ca6 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ECON 770 teaches quantitative economic research using core datasets and econometric modeling. ### llm topics * Core economic datasets * Econometric models ### llm skills * Clean and manipulate economic datasets * Implement econometric models ### llm assumed background None recorded. ### llm search phrases * econometric models * data cleaning * Panel Study on Income Dynamics * quantitative economic research ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash a9a5676d297a613f7d73bd4b32ec12c9dd59d141133a44cc8b8c073e57057a40 #### course id ECON 770 #### current instructors ```json [ { "instructor_uid": "instructor_8e5b8f58469ceddd22385aab", "message": "No course-specific reviews available", "name": "Alice Wu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.77 GPA, 94.2% A/AB (n=52 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_4c21a7647e1bffa3c62331a2", "message": "No course-specific reviews available", "name": "Ashley Swanson", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2915913", "summary": [ { "citations": [ { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.74 GPA, 96.0% A/AB (n=75 letter grades); Fall 2024: 3.77 GPA, 94.8% A/AB (n=58 letter grades); Fall 2025: 3.77 GPA, 94.2% A/AB (n=52 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Historical reviews of Kim Ruhl: The course provides hands-on experience with Python, helping students learn programming from scratch. ```json { "citations": [ { "instructor_name": "Kim Ruhl", "review_date": "2021-01-18 17:35:58 +0000 UTC", "review_id": "ca217098441ce4abfe9bfb8b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2417643", "source_review_id": "UmF0aW5nLTM0Mjg5NTE0", "source_url": "https://www.ratemyprofessors.com/professor/2417643", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Kim Ruhl describe well-organized lectures that teach Python from scratch and provide hands-on data analysis experience. No current instructor reviews are available to assess Alice Wu or Ashley Swanson. ```json { "citations": [ { "instructor_name": "Kim Ruhl", "review_date": "2021-01-18 17:35:58 +0000 UTC", "review_id": "ca217098441ce4abfe9bfb8b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2417643", "source_review_id": "UmF0aW5nLTM0Mjg5NTE0", "source_url": "https://www.ratemyprofessors.com/professor/2417643", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Kim Ruhl's historical version of ECON 770 offers a well-organized, inspirational introduction to Python for data analysis and visualization, suitable for beginners. ```json { "citations": [ { "instructor_name": "Kim Ruhl", "review_date": "2021-01-18 17:35:58 +0000 UTC", "review_id": "ca217098441ce4abfe9bfb8b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2417643", "source_review_id": "UmF0aW5nLTM0Mjg5NTE0", "source_url": "https://www.ratemyprofessors.com/professor/2417643", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.74 GPA, 96.0% A/AB (n=75 letter grades); Fall 2024: 3.77 GPA, 94.8% A/AB (n=58 letter grades); Fall 2025: 3.77 GPA, 94.2% A/AB (n=52 letter grades). ```json { "citations": [ { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Kim Ruhl: Reviewers found the lectures well-organized and inspiring, noting the class effectively teaches data analysis and visualization skills to those with no prior programming background. ```json { "citations": [ { "instructor_name": "Kim Ruhl", "review_date": "2021-01-18 17:35:58 +0000 UTC", "review_id": "ca217098441ce4abfe9bfb8b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2417643", "source_review_id": "UmF0aW5nLTM0Mjg5NTE0", "source_url": "https://www.ratemyprofessors.com/professor/2417643", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALICE WU is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` ASHLEY SWANSON is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` KIM RUHL is recorded teaching in Fall 2020, Fall 2021, Fall 2022, Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ECON 770", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "source_record": { "entity_id": "bfa13595-a721-3b0b-a5da-90f32a36e8ce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_8e5b8f58469ceddd22385aab", "source": "enrollment", "source_instructor_id": "hwu526", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alice Wu", "email": "HWU526@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/ALICE_WU" }, { "instructor_uid": "instructor_4c21a7647e1bffa3c62331a2", "source": "enrollment", "source_instructor_id": "swanson25", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ashley Swanson", "email": "SWANSON25@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2915913", "source_url": "https://www.ratemyprofessors.com/professor/2915913", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:00.812546+00:00", "courses": { "course_05d67a715fdacf96f5e1d957": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.7360779850423596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ASHLEY_SWANSON" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:296:025532", "course_id": "ECON 770", "course_uid": "course_7657616b432ed8fee5f3bdf3", "term_id": "1272", "source_course_id": "025532", "source_subject_id": "296", "title": "Data Analytics for Economists", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21339", "term_id": "1272", "source_section_id": "21339", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 37, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_96116ba006cf5df62b017631", "source": "madgrades", "source_instructor_id": "404762", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KIM RUHL", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 10, "quality": 4.2, "difficulty": 2.8, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:2417643", "source_url": "https://www.ratemyprofessors.com/professor/2417643", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:51.705255+00:00", "courses": { "course_05d67a715fdacf96f5e1d957": { "review_count": 6, "quality": 3.67, "difficulty": 2.5, "quality_count": 6, "difficulty_count": 6 }, "course_c580bd1525da3edb6cd052d9": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_7657616b432ed8fee5f3bdf3": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_bd45503e7f4482b76be7807d": { "review_count": 2, "quality": 5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.839790522364397, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.763, "graded": 834, "counts": [ 543, 214, 60, 11, 5, 0, 1 ], "sections": 35 }, "instructor_url": "/instructors/KIM_RUHL--instructor_96116ba006cf5df62b017631" }, { "instructor_uid": "instructor_cecf981891a26f6edd514d73", "source": "madgrades", "source_instructor_id": "5790365", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LORENZO MAGNOLFI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 24, "quality": 4.54, "difficulty": 3.08, "quality_count": 24, "difficulty_count": 24, "profile_id": "rmp:2364304", "source_url": "https://www.ratemyprofessors.com/professor/2364304", "match_basis": "exact_name", "observed_at": "2026-09-07 16:22:47.529528+00:00", "courses": { "course_c1d62f93b6bc2a4cab189b27": { "review_count": 22, "quality": 4.59, "difficulty": 3.05, "quality_count": 22, "difficulty_count": 22 }, "course_e104fb600738e5af6d58c4dd": { "review_count": 2, "quality": 4, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 4.139857174339362, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.323, "graded": 2066, "counts": [ 775, 463, 430, 225, 132, 28, 13 ], "sections": 33 }, "instructor_url": "/instructors/LORENZO_MAGNOLFI--instructor_cecf981891a26f6edd514d73" }, { "instructor_uid": "instructor_5e3e2f75d3656f1636ecbbb4", "source": "madgrades", "source_instructor_id": "6416101", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MINNIE CUI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.622, "graded": 189, "counts": [ 94, 66, 16, 7, 6, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/MINNIE_CUI" }, { "instructor_uid": "instructor_f7e78e66fad312ca7e5c3703", "source": "madgrades", "source_instructor_id": "3267947", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ASHLEY SWANSON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2915913", "source_url": "https://www.ratemyprofessors.com/professor/2915913", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:00.812546+00:00", "courses": { "course_05d67a715fdacf96f5e1d957": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.7360779850423596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.795, "graded": 622, "counts": [ 416, 160, 44, 1, 1, 0, 0 ], "sections": 17 }, "instructor_url": "/instructors/ASHLEY_SWANSON--instructor_f7e78e66fad312ca7e5c3703" }, { "instructor_uid": "instructor_2c630815c08c4531a88ccc15", "source": "madgrades", "source_instructor_id": "6313923", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SAM TAUKE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.767, "graded": 58, "counts": [ 34, 21, 3, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SAM_TAUKE" }, { "instructor_uid": "instructor_d2c60c542a86b34a5731b4b7", "source": "madgrades", "source_instructor_id": "6548142", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ARTHUR ERLENDSSON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.767, "graded": 58, "counts": [ 34, 21, 3, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ARTHUR_ERLENDSSON--instructor_d2c60c542a86b34a5731b4b7" }, { "instructor_uid": "instructor_2b2b8119cd66559ad40ff1f6", "source": "madgrades", "source_instructor_id": "6802579", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALICE WU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.845, "graded": 97, "counts": [ 72, 20, 5, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/ALICE_WU--instructor_2b2b8119cd66559ad40ff1f6" }, { "instructor_uid": "instructor_a137097e7ea7215a091f9a09", "source": "madgrades", "source_instructor_id": "6646949", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRUNO AMAT", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.36, "graded": 136, "counts": [ 52, 39, 23, 11, 6, 4, 1 ], "sections": 2 }, "instructor_url": "/instructors/BRUNO_AMAT--instructor_a137097e7ea7215a091f9a09" }, { "instructor_uid": "instructor_4c21a7647e1bffa3c62331a2", "source": "enrollment", "source_instructor_id": "swanson25", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ashley Swanson", "email": "SWANSON25@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2915913", "source_url": "https://www.ratemyprofessors.com/professor/2915913", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:00.812546+00:00", "courses": { "course_05d67a715fdacf96f5e1d957": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.7360779850423596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ASHLEY_SWANSON" }, { "instructor_uid": "instructor_8e5b8f58469ceddd22385aab", "source": "enrollment", "source_instructor_id": "hwu526", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alice Wu", "email": "HWU526@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/ALICE_WU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 770", "course_uid": "course_7657616b432ed8fee5f3bdf3", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Kim Ruhl", "Lorenzo Magnolfi" ], "a": 40, "ab": 20, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "ECON 770" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 770", "course_uid": "course_7657616b432ed8fee5f3bdf3", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Kim Ruhl" ], "a": 37, "ab": 15, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 54, "source_aliases": [ "ECON 770" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 770", "course_uid": "course_7657616b432ed8fee5f3bdf3", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Kim Ruhl" ], "a": 32, "ab": 18, "b": 10, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "ECON 770" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 770", "course_uid": "course_7657616b432ed8fee5f3bdf3", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Ashley Swanson", "Kim Ruhl", "MINNIE CUI" ], "a": 39, "ab": 33, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 75, "source_aliases": [ "ECON 770" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 770", "course_uid": "course_7657616b432ed8fee5f3bdf3", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ARTHUR ERLENDSSON", "Ashley Swanson", "SAM TAUKE" ], "a": 34, "ab": 21, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 58, "source_aliases": [ "ECON 770" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 770", "course_uid": "course_7657616b432ed8fee5f3bdf3", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Alice Wu", "Ashley Swanson", "BRUNO AMAT" ], "a": 31, "ab": 18, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 53, "source_aliases": [ "ECON 770" ] } ] ``` ### statistics #### gpa 3.767 #### graded 359 #### counts * 213 * 125 * 21 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_7657616b432ed8fee5f3bdf3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_7657616b432ed8fee5f3bdf3-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_7657616b432ed8fee5f3bdf3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_7657616b432ed8fee5f3bdf3-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_7657616b432ed8fee5f3bdf3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_7657616b432ed8fee5f3bdf3-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_7657616b432ed8fee5f3bdf3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_7657616b432ed8fee5f3bdf3-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_7657616b432ed8fee5f3bdf3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_7657616b432ed8fee5f3bdf3-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.767409470752089 #### count 359 #### university ##### size 3085 ##### gpa Percentile 52 ##### count Percentile 79 ##### median Count 123 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 7 | false | | 2.8–3.2 | 183 | false | | 3.2–3.6 | 782 | false | | 3.6–4.0 | 2113 | true | #### departments ```json [ { "subject": "ECON", "comparison": { "size": 78, "gpaPercentile": 78, "countPercentile": 74, "medianCount": 164.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 35, "current": false }, { "range": "3.6–4.0", "count": 28, "current": true } ] } } ] ``` ### terms #### 1212 ##### term 1212 ##### gpa 3.8333333333333335 ##### count 60 ##### university ###### size 1111 ###### gpa Percentile 74 ###### count Percentile 43 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 43, "gpaPercentile": 95, "countPercentile": 48, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.824074074074074 ##### count 54 ##### university ###### size 1157 ###### gpa Percentile 74 ###### count Percentile 40 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 94, "countPercentile": 36, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.683333333333333 ##### count 60 ##### university ###### size 1216 ###### gpa Percentile 55 ###### count Percentile 45 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 84, "countPercentile": 46, "medianCount": 68.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.74 ##### count 75 ##### university ###### size 1295 ###### gpa Percentile 59 ###### count Percentile 54 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 44, "gpaPercentile": 86, "countPercentile": 53, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.7672413793103448 ##### count 58 ##### university ###### size 1333 ###### gpa Percentile 61 ###### count Percentile 42 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 46, "gpaPercentile": 91, "countPercentile": 40, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.769230769230769 ##### count 52 ##### university ###### size 1320 ###### gpa Percentile 59 ###### count Percentile 34 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 40, "gpaPercentile": 87, "countPercentile": 31, "medianCount": 65.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3085 ###### gpa 3.6900065131557587 ###### top Share 83.8330418126172 ###### count 123 ##### ECON ###### size 78 ###### gpa 3.5012857139731435 ###### top Share 71.31929867014141 ###### count 164.5 #### terms ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### ECON ###### size 43 ###### gpa 3.4217856837040865 ###### top Share 67.0762430121588 ###### count 62 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### ECON ###### size 37 ###### gpa 3.4063875168428908 ###### top Share 64.51912969847739 ###### count 79 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### ECON ###### size 38 ###### gpa 3.3360474441634977 ###### top Share 61.683172425833845 ###### count 68.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### ECON ###### size 44 ###### gpa 3.382488776849895 ###### top Share 64.71357517027587 ###### count 70 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### ECON ###### size 46 ###### gpa 3.4251846784024935 ###### top Share 66.33912567216377 ###### count 74 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### ECON ###### size 40 ###### gpa 3.446407481735755 ###### top Share 68.17148103554868 ###### count 65.5 ## instructor Trends ```json [ { "uid": "instructor_96116ba006cf5df62b017631", "name": "KIM RUHL", "count": 249, "terms": [ { "term": "1212", "count": 60, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1222", "count": 54, "sections": 2, "gpa": 3.824074074074074 }, { "term": "1232", "count": 60, "sections": 1, "gpa": 3.683333333333333 }, { "term": "1242", "count": 75, "sections": 1, "gpa": 3.74 } ] }, { "uid": "instructor_f7e78e66fad312ca7e5c3703", "name": "ASHLEY SWANSON", "count": 185, "terms": [ { "term": "1242", "count": 75, "sections": 1, "gpa": 3.74 }, { "term": "1252", "count": 58, "sections": 1, "gpa": 3.7672413793103448 }, { "term": "1262", "count": 52, "sections": 1, "gpa": 3.769230769230769 } ] }, { "uid": "instructor_5e3e2f75d3656f1636ecbbb4", "name": "MINNIE CUI", "count": 75, "terms": [ { "term": "1242", "count": 75, "sections": 1, "gpa": 3.74 } ] }, { "uid": "instructor_cecf981891a26f6edd514d73", "name": "LORENZO MAGNOLFI", "count": 60, "terms": [ { "term": "1212", "count": 60, "sections": 1, "gpa": 3.8333333333333335 } ] }, { "uid": "instructor_2c630815c08c4531a88ccc15", "name": "SAM TAUKE", "count": 58, "terms": [ { "term": "1252", "count": 58, "sections": 1, "gpa": 3.7672413793103448 } ] }, { "uid": "instructor_d2c60c542a86b34a5731b4b7", "name": "ARTHUR ERLENDSSON", "count": 58, "terms": [ { "term": "1252", "count": 58, "sections": 1, "gpa": 3.7672413793103448 } ] }, { "uid": "instructor_2b2b8119cd66559ad40ff1f6", "name": "ALICE WU", "count": 52, "terms": [ { "term": "1262", "count": 52, "sections": 1, "gpa": 3.769230769230769 } ] }, { "uid": "instructor_a137097e7ea7215a091f9a09", "name": "BRUNO AMAT", "count": 52, "terms": [ { "term": "1262", "count": 52, "sections": 1, "gpa": 3.769230769230769 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.756791789649706 ### grades | grade | percentage | | ----- | ----------------- | | A | 58.05681466901903 | | AB | 35.24472859190317 | | B | 6.698456739077789 | | BC | 0 | | C | 0 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 299 ### same Season true ### historical Range * 3.6833333333333336 * 3.8240740740740744