SlideShare a Scribd company logo
NL.     ALUMNO      LYC1 MAT1 ECN1 ECS1 ET1       EA1   EF1 REL1   P1    INASIST    A%
  1 AGÜERO PÉREZ YETZABETH BELÉN
                     5.4   4.8    4.6   5.6 6.1   5.3   6.4   B    5.5       4      95%
  2 BARRA ALARCÓN JAVIERA ARLETH
                     5.2   4.7    4.9   4.9 5.7   5.8   6.5   S    5.4       4      95%
  3 BUSTOS ÁLVAREZ DYLAN 5.1
                     5.7          5.5   4.9 5.8   6.6   6.3  MB    5.7       3      97%
  4 BUSTOS VÁSQUEZ VALENTINA MONTSERRAT 5.5
                     5.7   4.9    4.8   6.0       5.0   6.6  MB    5.5      11      88%
  5 CAÑES CALFIMAN 6.1
                     SERGIO ANDRÉS 6.2
                           6.5    6.5       6.7   6.7   6.6  MB    6.5       1      99%
  6 CARVAJAL OBERG BASTIÁN4.3
                     5.5    ARIEL 5.4   5.0 5.9   6.1   6.3  MB    5.5       0     100%
  7 CID SANDOVAL DEBORA ANTONIA 3.9
                     5.0   3.9          4.7 5.6   5.7   6.2  MB    5.0       5      94%
  8 CIFUENTES TAPIA MICHELLE DOMINIQUE 5.5
                     5.7   4.9    5.5       6.1   4.8   6.4  MB    5.6       8      91%
  9 CONCHA ARAVENA JAVIERA ELENA
                     6.0   5.9    6.1   6.0 5.8   6.8   6.4  MB    6.1       1      99%
 10 CORTÉS CALFULÉN MARIO 5.3
                     4.9   IGNACIO4.8   5.1 5.2   5.6   6.3  MB    5.3       7      92%
 11 CORTÉS CERDA CONSTANZA SCARLETH 5.9
                     5.8   4.5    5.5       5.3   6.4   6.5  MB    5.7      10      89%
 12 CORTÉS FERNÁNDEZ JESSICA ALEJANDRA
                     5.9   4.3    6.3   5.5 5.7   6.7   6.6  MB    5.9       6      93%
 13 CUEVAS VALDEBENITO VALENTINA ISABEL
                     5.4   4.9    4.2   4.0 5.8   5.3   7.0   B    5.2      36      59%
 14 EPUL SOTO MISTICA6.1
                      BELÉN5.1    5.9   6.1 6.9   6.0   6.7  MB    6.1       9      90%
 15 FARÍAS ESCUDERO MARTÍN6.3
                     6.3    FELIPE DE JESÚS 5.9
                                  6.5             6.4   6.5  MB    6.3      13      85%
 16 FIGUEROA VARAS JAVIERA 5.2
                     6.3    CONSTANZA 5.2
                                  5.6       6.6   6.7   6.8  MB    6.1       0     100%
 17 FUENTEALBA NAVARRO ZOE ANAÍS
                     5.7   5.7    5.9   6.0 6.8   6.4   6.7  MB    6.2       0     100%
 18 FUENTES ZAMORANO ANTONIA CATALINA6.2
                     5.6   4.4    5.9       6.4   5.3   6.6  MB    5.8       7      92%
 19 GARRIDO VILLANUEVA FERNANDA5.0
                     6.1   4.4          5.4
                                  ANTONIA   5.9   6.5   6.3  MB    5.7       7      92%
 20 GONZÁLEZ CORNEJO MARCELO BENJAMÍN
                     5.9   4.3    4.7   5.3 6.5   5.7   6.2  MB    5.5      13      85%
 21 GONZÁLEZ GONZÁLEZ RODRIGO IGNACIO5.0
                     5.3   3.8    5.0       5.7   6.1   6.6  MB    5.4       3      97%
 22 GUZMÁN MELO CAMILA IGNACIA 4.5
                     5.8   5.1          5.5 6.0   5.7   6.5  MB    5.6       0     100%
 23 HERNÁNDEZ GARCÍA MATIAS IGNACIO 5.3
                     5.5   4.0    4.0       5.4   4.6   6.5   B    5.0       9      90%
 24 HUENCHUMIL ROMERO NAYADET MONSERRAT 5.6
                     5.0   4.2    5.2   4.4       5.5   6.3  MB    5.2       0     100%
 25 LADRÓN DE GUEVARA ZÚÑIGA LUCAS EDUARDO6.2
                     5.1   4.8    5.5   5.6       4.2   6.5   S    5.4       5      94%
 26 LARA CARVAJAL JORDÁN ANDRÉS4.4
                     4.9   4.4          4.7 5.7   5.7   6.4   B    5.2       4      95%
 27 LEAL COMPAYANTE 5.3
                     FABIOLA ARACELY 4.6
                           5.4    4.8       6.2   5.8   6.5  MB    5.5       0     100%
 28 MARDONES FIGUEROA GERARD ANDRÉS
                     5.7   5.9    5.4   5.4 6.2   5.6   6.8   B    5.9       4      95%
 29 MEJÍAS PEREDA DANIELA IGNACIA5.6
                     6.1   5.7          6.4
                                   LORETO   6.8   6.6   6.7   B    6.3       1      99%
 30 MEZA VERA IGNACIO ANDRÉS
                     4.6   3.7    4.8   4.7 5.0   5.7   6.7  MB    5.0       2      98%
 31 MORALES MÉNDEZ JAZMÍN4.3
                     5.2     ALEXANDRA 5.4
                                  5.4       6.8   5.4   6.4   S    5.6       0     100%
 32 MORENO MARAMBIO ERICKA DANIELA 6.4
                     6.0   5.1    6.6       6.0   6.5   6.9  MB    6.2      11      88%
 33 MOYA MIRANDA BIANCA CATALINA4.7
                     5.3   3.7          4.2 5.3   6.4   6.6  MB    5.2       0     100%
 34 MOYA SOTO CHISTIAN GABRIEL
                     6.2   6.6    6.9   6.5 6.1   6.6   6.8  MB    6.5       0     100%
 35 NAHUEL ARAYA JORDANO FRANCISCO
                     6.4   6.5    6.9   6.8 6.8   6.7   7.0  MB    6.7      10      89%
 36 QUEZADA LÓPEZ LAURA 3.9
                     5.5    FRANCISCA BESMIER E
                                  4.8   5.3 5.7   5.1   6.6  MB    5.3       5      94%
 37 ROMERO ARENAS 6.2 SOFÍA5.5
                            CAROLINA 5.6
                                  5.8       6.4   6.5   6.5  MB    6.1       0     100%
 38 SAN MARTÍN SAN MARTÍN ALEJANDRO IGNACIO
                     5.3   5.4    6.0   5.4 6.5   6.9   6.9  MB    6.1       4      95%
 39 SEGURA LEIVA RUBEN IGNACIO
                     6.1   5.2    6.3   5.2 6.0   6.7   6.4  MB    6.0       3      97%
 40 SUÁREZ CASTILLO6.2SEBASTIÁN 5.9
                           6.4    ALEJANDRO 7.0
                                        6.2       6.8   6.8  MB    6.5       2      98%

More Related Content

Similar to Plantillablog

Notas final ny d 2011
Notas final ny d 2011Notas final ny d 2011
Notas final ny d 2011
microbiologia.dad
 
Excel ti cs(2)3
Excel ti cs(2)3Excel ti cs(2)3
Excel ti cs(2)3
silvana fernandez
 
Promedio Semestral Alumnos 4º E
Promedio Semestral Alumnos 4º EPromedio Semestral Alumnos 4º E
Promedio Semestral Alumnos 4º E
gestiondemipymes
 
Notas labmicro2011nyd grupo ii
Notas labmicro2011nyd grupo iiNotas labmicro2011nyd grupo ii
Notas labmicro2011nyd grupo ii
microbiologia.dad
 
Calificaciones.
Calificaciones.Calificaciones.
Calificaciones.
karla
 
Mi planilla de_notas(1)
Mi planilla de_notas(1)Mi planilla de_notas(1)
Mi planilla de_notas(1)
Engel Sanchez
 
Mi planilla de_notas(1)
Mi planilla de_notas(1)Mi planilla de_notas(1)
Mi planilla de_notas(1)
Engel Sanchez
 
Notas cátedra ny d 2011 promedio
Notas cátedra ny d 2011 promedioNotas cátedra ny d 2011 promedio
Notas cátedra ny d 2011 promedio
microbiologia.dad
 
Planilla ecxel(1) paula(1)
Planilla ecxel(1) paula(1)Planilla ecxel(1) paula(1)
Planilla ecxel(1) paula(1)
paula
 
Grado 10 b
Grado 10 bGrado 10 b
Grado 10 b
mirella
 
Calificaciones 2010 regiones
Calificaciones 2010 regionesCalificaciones 2010 regiones
Calificaciones 2010 regiones
Alan López
 
Grado 10 a
Grado 10 aGrado 10 a
Grado 10 a
mirella
 
Média final 2012
Média final 2012Média final 2012
Média final 2012
Sherly Martins
 
Grado 6 a
Grado 6 aGrado 6 a
Grado 6 a
mirella
 
Grado 6 a notas iii periodo
Grado 6 a notas iii periodoGrado 6 a notas iii periodo
Grado 6 a notas iii periodo
mirella
 
Grado 6 a notas iii periodo
Grado 6 a notas iii periodoGrado 6 a notas iii periodo
Grado 6 a notas iii periodo
mirella
 
Notas décimo año de educación básica paralelo e 2014 - 2015.pdf 2 p
Notas décimo año de educación básica  paralelo  e 2014 - 2015.pdf 2 pNotas décimo año de educación básica  paralelo  e 2014 - 2015.pdf 2 p
Notas décimo año de educación básica paralelo e 2014 - 2015.pdf 2 p
Lucrecia Rojas
 
23 05 10 planilla notas curso
23 05 10 planilla notas curso23 05 10 planilla notas curso
23 05 10 planilla notas curso
ipalaciosgomez
 
PRUEBA DE SUBIDA ARCHIVO
PRUEBA DE SUBIDA ARCHIVOPRUEBA DE SUBIDA ARCHIVO
PRUEBA DE SUBIDA ARCHIVO
juancorreaolguin2011
 
1 d
1 d 1 d

Similar to Plantillablog (20)

Notas final ny d 2011
Notas final ny d 2011Notas final ny d 2011
Notas final ny d 2011
 
Excel ti cs(2)3
Excel ti cs(2)3Excel ti cs(2)3
Excel ti cs(2)3
 
Promedio Semestral Alumnos 4º E
Promedio Semestral Alumnos 4º EPromedio Semestral Alumnos 4º E
Promedio Semestral Alumnos 4º E
 
Notas labmicro2011nyd grupo ii
Notas labmicro2011nyd grupo iiNotas labmicro2011nyd grupo ii
Notas labmicro2011nyd grupo ii
 
Calificaciones.
Calificaciones.Calificaciones.
Calificaciones.
 
Mi planilla de_notas(1)
Mi planilla de_notas(1)Mi planilla de_notas(1)
Mi planilla de_notas(1)
 
Mi planilla de_notas(1)
Mi planilla de_notas(1)Mi planilla de_notas(1)
Mi planilla de_notas(1)
 
Notas cátedra ny d 2011 promedio
Notas cátedra ny d 2011 promedioNotas cátedra ny d 2011 promedio
Notas cátedra ny d 2011 promedio
 
Planilla ecxel(1) paula(1)
Planilla ecxel(1) paula(1)Planilla ecxel(1) paula(1)
Planilla ecxel(1) paula(1)
 
Grado 10 b
Grado 10 bGrado 10 b
Grado 10 b
 
Calificaciones 2010 regiones
Calificaciones 2010 regionesCalificaciones 2010 regiones
Calificaciones 2010 regiones
 
Grado 10 a
Grado 10 aGrado 10 a
Grado 10 a
 
Média final 2012
Média final 2012Média final 2012
Média final 2012
 
Grado 6 a
Grado 6 aGrado 6 a
Grado 6 a
 
Grado 6 a notas iii periodo
Grado 6 a notas iii periodoGrado 6 a notas iii periodo
Grado 6 a notas iii periodo
 
Grado 6 a notas iii periodo
Grado 6 a notas iii periodoGrado 6 a notas iii periodo
Grado 6 a notas iii periodo
 
Notas décimo año de educación básica paralelo e 2014 - 2015.pdf 2 p
Notas décimo año de educación básica  paralelo  e 2014 - 2015.pdf 2 pNotas décimo año de educación básica  paralelo  e 2014 - 2015.pdf 2 p
Notas décimo año de educación básica paralelo e 2014 - 2015.pdf 2 p
 
23 05 10 planilla notas curso
23 05 10 planilla notas curso23 05 10 planilla notas curso
23 05 10 planilla notas curso
 
PRUEBA DE SUBIDA ARCHIVO
PRUEBA DE SUBIDA ARCHIVOPRUEBA DE SUBIDA ARCHIVO
PRUEBA DE SUBIDA ARCHIVO
 
1 d
1 d 1 d
1 d
 

Recently uploaded

UI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentationUI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentation
Wouter Lemaire
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
Ivanti
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Things to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUUThings to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUU
FODUU
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 

Recently uploaded (20)

UI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentationUI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentation
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Things to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUUThings to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUU
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 

Plantillablog

  • 1. NL. ALUMNO LYC1 MAT1 ECN1 ECS1 ET1 EA1 EF1 REL1 P1 INASIST A% 1 AGÜERO PÉREZ YETZABETH BELÉN 5.4 4.8 4.6 5.6 6.1 5.3 6.4 B 5.5 4 95% 2 BARRA ALARCÓN JAVIERA ARLETH 5.2 4.7 4.9 4.9 5.7 5.8 6.5 S 5.4 4 95% 3 BUSTOS ÁLVAREZ DYLAN 5.1 5.7 5.5 4.9 5.8 6.6 6.3 MB 5.7 3 97% 4 BUSTOS VÁSQUEZ VALENTINA MONTSERRAT 5.5 5.7 4.9 4.8 6.0 5.0 6.6 MB 5.5 11 88% 5 CAÑES CALFIMAN 6.1 SERGIO ANDRÉS 6.2 6.5 6.5 6.7 6.7 6.6 MB 6.5 1 99% 6 CARVAJAL OBERG BASTIÁN4.3 5.5 ARIEL 5.4 5.0 5.9 6.1 6.3 MB 5.5 0 100% 7 CID SANDOVAL DEBORA ANTONIA 3.9 5.0 3.9 4.7 5.6 5.7 6.2 MB 5.0 5 94% 8 CIFUENTES TAPIA MICHELLE DOMINIQUE 5.5 5.7 4.9 5.5 6.1 4.8 6.4 MB 5.6 8 91% 9 CONCHA ARAVENA JAVIERA ELENA 6.0 5.9 6.1 6.0 5.8 6.8 6.4 MB 6.1 1 99% 10 CORTÉS CALFULÉN MARIO 5.3 4.9 IGNACIO4.8 5.1 5.2 5.6 6.3 MB 5.3 7 92% 11 CORTÉS CERDA CONSTANZA SCARLETH 5.9 5.8 4.5 5.5 5.3 6.4 6.5 MB 5.7 10 89% 12 CORTÉS FERNÁNDEZ JESSICA ALEJANDRA 5.9 4.3 6.3 5.5 5.7 6.7 6.6 MB 5.9 6 93% 13 CUEVAS VALDEBENITO VALENTINA ISABEL 5.4 4.9 4.2 4.0 5.8 5.3 7.0 B 5.2 36 59% 14 EPUL SOTO MISTICA6.1 BELÉN5.1 5.9 6.1 6.9 6.0 6.7 MB 6.1 9 90% 15 FARÍAS ESCUDERO MARTÍN6.3 6.3 FELIPE DE JESÚS 5.9 6.5 6.4 6.5 MB 6.3 13 85% 16 FIGUEROA VARAS JAVIERA 5.2 6.3 CONSTANZA 5.2 5.6 6.6 6.7 6.8 MB 6.1 0 100% 17 FUENTEALBA NAVARRO ZOE ANAÍS 5.7 5.7 5.9 6.0 6.8 6.4 6.7 MB 6.2 0 100% 18 FUENTES ZAMORANO ANTONIA CATALINA6.2 5.6 4.4 5.9 6.4 5.3 6.6 MB 5.8 7 92% 19 GARRIDO VILLANUEVA FERNANDA5.0 6.1 4.4 5.4 ANTONIA 5.9 6.5 6.3 MB 5.7 7 92% 20 GONZÁLEZ CORNEJO MARCELO BENJAMÍN 5.9 4.3 4.7 5.3 6.5 5.7 6.2 MB 5.5 13 85% 21 GONZÁLEZ GONZÁLEZ RODRIGO IGNACIO5.0 5.3 3.8 5.0 5.7 6.1 6.6 MB 5.4 3 97% 22 GUZMÁN MELO CAMILA IGNACIA 4.5 5.8 5.1 5.5 6.0 5.7 6.5 MB 5.6 0 100% 23 HERNÁNDEZ GARCÍA MATIAS IGNACIO 5.3 5.5 4.0 4.0 5.4 4.6 6.5 B 5.0 9 90% 24 HUENCHUMIL ROMERO NAYADET MONSERRAT 5.6 5.0 4.2 5.2 4.4 5.5 6.3 MB 5.2 0 100% 25 LADRÓN DE GUEVARA ZÚÑIGA LUCAS EDUARDO6.2 5.1 4.8 5.5 5.6 4.2 6.5 S 5.4 5 94% 26 LARA CARVAJAL JORDÁN ANDRÉS4.4 4.9 4.4 4.7 5.7 5.7 6.4 B 5.2 4 95% 27 LEAL COMPAYANTE 5.3 FABIOLA ARACELY 4.6 5.4 4.8 6.2 5.8 6.5 MB 5.5 0 100% 28 MARDONES FIGUEROA GERARD ANDRÉS 5.7 5.9 5.4 5.4 6.2 5.6 6.8 B 5.9 4 95% 29 MEJÍAS PEREDA DANIELA IGNACIA5.6 6.1 5.7 6.4 LORETO 6.8 6.6 6.7 B 6.3 1 99% 30 MEZA VERA IGNACIO ANDRÉS 4.6 3.7 4.8 4.7 5.0 5.7 6.7 MB 5.0 2 98% 31 MORALES MÉNDEZ JAZMÍN4.3 5.2 ALEXANDRA 5.4 5.4 6.8 5.4 6.4 S 5.6 0 100% 32 MORENO MARAMBIO ERICKA DANIELA 6.4 6.0 5.1 6.6 6.0 6.5 6.9 MB 6.2 11 88% 33 MOYA MIRANDA BIANCA CATALINA4.7 5.3 3.7 4.2 5.3 6.4 6.6 MB 5.2 0 100% 34 MOYA SOTO CHISTIAN GABRIEL 6.2 6.6 6.9 6.5 6.1 6.6 6.8 MB 6.5 0 100% 35 NAHUEL ARAYA JORDANO FRANCISCO 6.4 6.5 6.9 6.8 6.8 6.7 7.0 MB 6.7 10 89% 36 QUEZADA LÓPEZ LAURA 3.9 5.5 FRANCISCA BESMIER E 4.8 5.3 5.7 5.1 6.6 MB 5.3 5 94% 37 ROMERO ARENAS 6.2 SOFÍA5.5 CAROLINA 5.6 5.8 6.4 6.5 6.5 MB 6.1 0 100% 38 SAN MARTÍN SAN MARTÍN ALEJANDRO IGNACIO 5.3 5.4 6.0 5.4 6.5 6.9 6.9 MB 6.1 4 95% 39 SEGURA LEIVA RUBEN IGNACIO 6.1 5.2 6.3 5.2 6.0 6.7 6.4 MB 6.0 3 97% 40 SUÁREZ CASTILLO6.2SEBASTIÁN 5.9 6.4 ALEJANDRO 7.0 6.2 6.8 6.8 MB 6.5 2 98%