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20 KiB
20 KiB
| 1 | Response ID | Date submitted | Last page | Start language | Seed | Date started | Date last action | Gender | Age | Educational Qualification | Educational Qualification [Other] | Primary Department | Primary Department [Other] | Are you a part of the management team? | How many direct reportees do you have? | How much time do you spend on average per day working with data in your current role? | Your primary/major involvement with data is in [collecting/entering data] | Your primary/major involvement with data is in [preparing visualizations] | Your primary/major involvement with data is in [understanding what happened in the past or what is happening] | Your primary/major involvement with data is in [predicting what may happen] | Your primary/major involvement with data is in [ optimization (of process and process elements using result of analysis)] | I am a data science professional and/or participate in coding or related activities. | In my organization [we always use version control software (eg git) when developing software] | In my organization [we always use data provenance systems, which makes it possible to view old versions of databases and files] | In my organization [we always use unit tests when developing new software] | In my organization [I always test new software on a development environment first] | In my organization [I always have new software functionally tested before deployment] | In my organization [I use a training set and a test set when evaluating new models] | In my organization [I use input controls when setting up data pipelines] | In my organization [my colleagues provide their codes with clear comments] | In my organization [my colleagues subject their models to sensitivity analyses (e.g. Monte Carlo simulation)] | In my organization [my organization periodically scrutinizes algorithms and models] | One of the major contributions of data in your organization is to [increase efficiency of existing processes] | One of the major contributions of data in your organization is to [increase effectivity of existing processes] | One of the major contributions of data in your organization is to [increase effectivity of process transformation] | One of the major contributions of data in your organization is to [develop new products/services] | One of the major contributions of data in your organization is to [enhance customer satisfaction] | In my organization [digital infrastructure is excellent] | In my organization [all data is stored in a central warehouse] | In my organization [spreadsheets are the primary source of data storage] | In my organization [there is a single point of contact for all database related queries] | In my organization [there is a single point of contact for data analysis related queries] | In my organization [we have access to cloud computing platforms (Azure/AWS/GCP/Digital Ocean)] | In my organization [we have access to external data sources via APIs or scraping] | In my organization [most of the reports are generated automatically on a schedule] | Following applications are substantially used in our organization [spreadsheets (Excel/Libreoffice Cal/gnumeric etc.)] | Following applications are substantially used in our organization [proprietary mathematical/statistical softwares (Matlab/SPSS etc.)] | Following applications are substantially used in our organization [databases (SQL/PostgreSQL etc.)] | Following applications are substantially used in our organization [statistical programming languages (R/Python/Scala)] | Following applications are substantially used in our organization [ data visualization softwares (PowerBI/Tableau/Periscope etc.)] | In my organization [we cooperate with external parties in the area of data] | In my organization [the distance between data specialists and other staff is small] | In my organization [we learn and improve from mistakes made in entering/rework/analyzing data is used to learn and improve] | In my organization [experiments with new technologies is encouraged] | In my organization [we share data with other parties] | My organization uses [product/service sales data] | My organization uses [product/service usage data] | My organization uses [financial data] | My organization uses [customer data (orders/subscriptions etc.)] | My organization uses [prospective customer's data (From social media/survey etc.)] | My organization uses [employee data] | My organization uses [market related data (market potential/economic factors etc.)] | My organization uses [operations data] | My organization uses the following data for analysis [structured data (Numbers etc.)] | My organization uses the following data for analysis [unstructured data (Text)] | My organization uses the following data for analysis [unstructured data (Images)] | My organization uses the following data for analysis [unstructured data (Audio)] | My organization uses the following data for analysis [unstructured data (Video)] | In my organization [there are plenty of opportunities to develop data skills] | In my organization [the management is aware of the possibilities of data] | In my organization [new (data) technologies are introduced quickly and smoothly] | In my organization [the number of data specialists is more than sufficient] | In my organization [support with problems related to data are well arranged] | In my organization [my organization knows how to use data to make decisions] | I am confident that [data is relevant within my organization] | I am confident that [the data within my organization is accurate] | I am confident that [the data within my organization is up to date / recent] | I am confident that [the data within my organization is complete] | My organization [stores new data immediately in a central warehouse] | My organization [has a standard data structure; all colleagues work with data in the same way] | My organization [has fully integrated data sources and offers easy organization wide analytics] | My organization [has a lot of attention towards data management] | In my organization [we strive for rapid adoption of novelties in the field of data] | In my organization [my colleagues often bring new ideas and developments in the field of data to the table] | In my organization [the leadership is keen to capitalize on new developments in data immediately] | In my organization [promising developments regarding data are quickly addressed] | In my organization [we have the necessary resources and opportunities to quickly implement new developments] | In my organization [everyone uses the same software (Microsoft Office, Salesforce, Microsoft Dynamics, etc.)] | In my organization [there are clear guidelines regarding data security (passwords, secure file storage)] | In my organization [my colleagues strictly adhere to data security procedures] | In my organization [everyone is aware of the importance of data security] | In my organization [security incidents with regard to data are always reported immediately] | In my organization [everyone is fully aware of spyware threats] | In my organization [shadow communication (such as Gmail, Dropbox, WeTransfer) is not used ] | In my organization [my colleagues handle the classification of information well] | In my organization [the regulations regarding the classification of information are well known] | In my organization [data has a designated owner] | In my organization [we respond adequately to data ethics and privacy incidents] | In my organization [incidents concerning privacy (e.g. data leaks) are always reported immediately] | In my organization [my colleagues strictly adhere to legal procedures regarding data] | In my organization [awareness of data ethics and privacy is highly developed] | In my organization [we are aware of the law and regulations regarding data (e.g. the GDPR)] | I [usually manage to solve problems with new digital technologies myself] | I [would like to further develop my skills in data-related technologies and I am willing to take an extra step and take risks] | I [know how I can personally contribute to a more data-driven organization] | My Colleagues [are generally good with new data-related technologies] | My Colleagues [enjoy the application of new data-related developments] | I [have the resources to work on data-related projects in addition to my normal tasks] | I [participate in data-related events (meet-ups, conferences, seminars)] | I [am taking online courses to sharpen my data skills] | I [know how to find help online for solving data-related issues (e.g. on forums or discussion groups)] | I [and my colleagues are aware of the latest developments and trends in data] | What is your knowledge level of [ supervised learning] | What is your knowledge level of [unsupervised learning] | What is your knowledge level of [data visualization tools] | What is your knowledge level of [Structured Query Language (SQL or similar)] | What is your knowledge level of [Intelligent Information Retrieval (elastic search etc.)] | What is your knowledge level of [Application Programming Interface (API)] | What is your knowledge level of [web scraping] | What is your knowledge level of [version control (git)] | What is your knowledge level of [cloud computing (AWS/Digital Ocean/Azure/GCP)] | What is your knowledge level of [file sharing services (Dropbox/onedrive etc.)] | What is your knowledge level of [artificial intelligence (reinforcement learning)] | What is your knowledge level of [quality control of data science programming (Unit testing / cross validation etc.)] | What is your knowledge level of [search engine optimization (SEO)] | What is your knowledge level of [data warehouses (SAP Business warehouse / Amazon Redshift etc.)] | What is your knowledge level of [large scale experimentation (A/B Testing)] | In our organization [we have an explicit strategy with regard to data] | In our organization [the strategy with regard to data has been translated into concrete policy] | In our organization [the concrete measures are easy to implement] | In our organization [sufficient budget and time is available for the implementation of the strategy] | In our organization [the data science strategy is widely supported] | In our organization [the data strategy is convincing] | In our organization [the top (management) radiates the importance of data] | In our organization [the top (management) is able to implement the policy] | What is your perception about data maturity of your organization [Beginner - Has no experience with data science and needs tools to start collecting data] | What is your perception about data maturity of your organization [Collector - Collects data, but has trouble properly cleaning, storing, and preparing data for analysis] | What is your perception about data maturity of your organization [Descriptor - Can unlock the data in such a way that analyzes can be run, but still has little capacity / skills to run predictive analyses] | What is your perception about data maturity of your organization [Predictor - Can run predictive analytics, but needs to gain insight into the latest developments in data science] | What is your perception about data maturity of your organization [Expert - Is fully aware of all developments and possibilities in the field of data science and mainly needs the lab for short-term capacity filling] | I [immediately revise my position when new data is available] | I [always adhere to the applicable laws and regulations regarding data (e.g. the GDPR)] | I [am always willing to admit I'm wrong when presented with new data] | I [always use data as the primary driver for my decision making, regardless of my interlocutor] | In my organization [we have defined processes for all operational tasks] | In my organization [the processes are mostly automated] | In my organization [the automation almost eliminates the need of manual data collection / entry] |
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| 2 | 5 | 2022-02-11 16:44:06 | 24 | en | 1475405049 | 2022-02-11 16:40:48 | 2022-02-11 16:44:06 | 2 | A31 | E3 | D3 | 2 | 9 | H3 | AG5 | AG4 | AG3 | AG2 | AG1 | 1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG4 | AG4 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG4 | AG4 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG1 | AG5 | AG4 | AG5 | AG4 | AG4 | AG3 | AG3 | 5 | 5 | 4 | 5 | 5 | 4 | 4 | 4 | 4 | 3 | 3 | 2 | 2 | 2 | 1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | ||||
| 3 | 6 | 2022-02-11 16:48:57 | 24 | en | 1037585760 | 2022-02-11 16:44:14 | 2022-02-11 16:48:57 | 2 | A41 | E5 | D4 | 1 | 8 | H4 | AG5 | AG4 | AG3 | AG2 | AG1 | 2 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG4 | AG4 | AG4 | AG3 | AG2 | AG1 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG3 | AG2 | AG1 | AG5 | AG4 | AG5 | AG4 | AG3 | AG2 | AG1 | 5 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | 3 | 3 | 3 | 2 | 2 | 1 | AG5 | AG4 | AG4 | AG3 | AG2 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | ||||||||||||||||||
| 4 | 7 | 2022-02-11 16:51:21 | 24 | en | 361113570 | 2022-02-11 16:49:08 | 2022-02-11 16:51:21 | 2 | A41 | E3 | D7 | 2 | 6 | H4 | AG3 | AG3 | AG1 | AG2 | AG1 | 2 | AG5 | AG4 | AG3 | AG2 | AG2 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG3 | AG2 | AG2 | AG4 | AG3 | AG3 | AG2 | AG2 | AG5 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG5 | AG4 | AG3 | AG3 | AG2 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG5 | AG4 | AG3 | AG3 | AG5 | AG4 | AG3 | AG3 | AG5 | AG4 | AG4 | AG3 | AG3 | AG5 | AG4 | AG4 | AG4 | AG3 | AG3 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG4 | AG3 | AG5 | AG4 | AG3 | AG3 | AG3 | 5 | 5 | 4 | 5 | 5 | 4 | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 2 | 1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG3 | AG2 | AG4 | AG3 | AG2 | ||||||||||||
| 5 | 8 | 2022-02-11 16:57:11 | 24 | en | 48441730 | 2022-02-11 16:54:51 | 2022-02-11 16:57:11 | 2 | A60 | E2 | D6 | 1 | 3 | H3 | AG5 | AG4 | AG2 | AG2 | AG1 | 2 | AG4 | AG3 | AG2 | AG1 | AG1 | AG5 | AG4 | AG4 | AG3 | AG2 | AG2 | AG1 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG2 | AG1 | AG4 | AG3 | AG2 | AG2 | AG1 | AG3 | AG2 | AG1 | AG4 | AG3 | AG4 | AG3 | AG3 | AG2 | AG1 | 5 | 4 | 4 | 3 | 4 | 4 | 4 | 4 | 3 | 3 | 3 | 2 | 2 | 2 | 1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG3 | AG2 | AG1 | ||||||||||||
| 6 | 9 | 2022-02-11 17:00:00 | 24 | en | 70389794 | 2022-02-11 16:57:21 | 2022-02-11 17:00:00 | 2 | A31 | E5 | D7 | 2 | 3 | H3 | AG4 | AG3 | AG2 | AG2 | AG1 | 1 | AG4 | AG3 | AG2 | AG2 | AG1 | AG4 | AG4 | AG3 | AG2 | AG2 | AG4 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG3 | AG2 | AG1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG1 | AG5 | AG4 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG3 | AG3 | AG2 | AG2 | AG1 | AG4 | AG5 | AG4 | AG3 | AG4 | AG4 | AG3 | AG3 | AG3 | AG2 | AG5 | AG4 | AG3 | AG2 | AG2 | AG4 | AG3 | AG2 | AG4 | AG3 | AG5 | AG4 | AG4 | AG3 | AG2 | 5 | 4 | 4 | 3 | 4 | 4 | 3 | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | ||
| 7 | 10 | 2022-02-11 17:01:50 | 24 | en | 2079733467 | 2022-02-11 16:58:11 | 2022-02-11 17:01:50 | 1 | A25 | E2 | D5 | 2 | 3 | H3 | AG2 | AG2 | AG2 | AG2 | AG2 | 2 | AG1 | AG2 | AG3 | AG4 | AG5 | AG1 | AG2 | AG1 | AG2 | AG3 | AG4 | AG4 | AG5 | AG5 | AG4 | AG3 | AG2 | AG1 | AG4 | AG2 | AG1 | AG3 | AG5 | AG1 | AG1 | AG2 | AG2 | AG3 | AG3 | AG4 | AG4 | AG1 | AG1 | AG5 | AG5 | AG3 | AG2 | AG2 | AG4 | AG4 | AG5 | AG5 | AG2 | AG4 | AG3 | AG5 | AG5 | AG5 | AG2 | AG2 | AG1 | AG1 | AG3 | AG2 | AG4 | AG1 | AG2 | AG2 | AG3 | AG4 | AG4 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG3 | AG4 | AG4 | AG1 | AG2 | AG3 | AG3 | AG2 | AG2 | AG1 | AG2 | AG3 | AG4 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 3 | 4 | 4 | 4 | 4 | 4 | 3 | AG2 | AG2 | AG3 | AG3 | AG4 | AG4 | AG3 | AG3 | AG2 | AG4 | AG2 | AG4 | AG3 | AG1 | AG1 | AG2 | AG4 | AG2 | AG3 | AG2 | |||||||||||||
| 8 | 11 | 2022-02-11 17:40:03 | 24 | en | 1667932904 | 2022-02-11 17:37:40 | 2022-02-11 17:40:03 | 1 | A51 | E5 | D5 | 1 | 8 | H3 | AG4 | AG3 | AG2 | AG2 | AG1 | 2 | AG4 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG4 | AG3 | AG2 | AG2 | AG1 | AG1 | AG4 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG3 | AG3 | AG2 | AG2 | AG1 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG3 | AG3 | AG2 | AG2 | AG4 | AG4 | AG3 | AG3 | AG5 | AG4 | AG4 | AG3 | AG3 | AG5 | AG4 | AG4 | AG5 | AG5 | AG4 | AG4 | AG3 | AG3 | AG5 | AG4 | AG3 | AG3 | AG2 | AG4 | AG3 | AG3 | AG5 | AG4 | AG5 | AG4 | AG4 | AG3 | AG3 | 5 | 5 | 4 | 5 | 4 | 4 | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 1 | 1 | AG5 | AG5 | AG4 | AG4 | AG3 | AG2 | AG1 | AG1 | AG4 | AG3 | AG2 | AG2 | AG1 | AG4 | AG3 | AG2 | AG1 | AG4 | AG3 | AG2 | |||||||||||||
| 9 | 12 | 2022-02-11 17:42:31 | 24 | en | 1757549755 | 2022-02-11 17:40:15 | 2022-02-11 17:42:31 | 2 | A25 | E5 | D8 | 2 | 8 | H4 | AG4 | AG3 | AG2 | AG1 | AG1 | 2 | AG5 | AG4 | AG3 | AG2 | AG2 | AG5 | AG5 | AG4 | AG4 | AG3 | AG3 | AG2 | AG2 | AG1 | AG2 | AG4 | AG5 | AG5 | AG5 | AG3 | AG4 | AG3 | AG3 | AG5 | AG3 | AG4 | AG3 | AG3 | AG4 | AG4 | AG2 | AG4 | AG3 | AG2 | AG3 | AG2 | AG5 | AG5 | AG4 | AG3 | AG2 | AG2 | AG4 | AG5 | AG4 | AG4 | AG5 | AG4 | AG3 | AG4 | AG5 | AG5 | AG4 | AG3 | AG3 | AG5 | AG4 | AG3 | AG4 | AG4 | AG3 | AG4 | AG3 | AG3 | AG2 | AG5 | AG4 | AG3 | AG2 | AG2 | AG5 | AG3 | AG3 | AG4 | AG3 | AG5 | AG4 | AG4 | AG3 | AG2 | 4 | 3 | 5 | 3 | 3 | 4 | 2 | 3 | 4 | 3 | 3 | 3 | 4 | 2 | 4 | AG4 | AG5 | AG4 | AG3 | AG4 | AG3 | AG4 | AG5 | AG5 | AG5 | AG4 | AG5 | AG4 | AG5 | AG4 | AG5 | AG4 | AG5 | AG5 | AG4 | ||||||||||||
| 10 | 13 | 2022-02-11 17:44:58 | 24 | en | 923048017 | 2022-02-11 17:42:41 | 2022-02-11 17:44:58 | 2 | A18 | E5 | D8 | 1 | 9 | H3 | AG4 | AG3 | AG2 | AG2 | AG1 | 2 | AG5 | AG4 | AG3 | AG3 | AG2 | AG5 | AG4 | AG4 | AG3 | AG2 | AG2 | AG1 | AG5 | AG4 | AG3 | AG3 | AG2 | AG5 | AG4 | AG4 | AG4 | AG5 | AG5 | AG4 | AG3 | AG5 | AG4 | AG4 | AG4 | AG5 | AG5 | AG4 | AG3 | AG4 | AG5 | AG5 | AG4 | AG5 | AG4 | AG3 | AG5 | AG4 | AG4 | AG3 | AG5 | AG4 | AG5 | AG4 | AG5 | AG5 | AG5 | AG4 | AG3 | AG5 | AG4 | AG5 | AG4 | AG5 | AG4 | AG3 | AG4 | AG4 | AG3 | AG5 | AG5 | AG4 | AG4 | AG3 | AG5 | AG4 | AG3 | AG5 | AG4 | AG5 | AG4 | AG5 | AG4 | AG4 | 5 | 3 | 4 | 4 | 5 | 4 | 5 | 4 | 4 | 4 | 3 | 4 | 4 | 3 | 4 | AG4 | AG5 | AG4 | AG3 | AG4 | AG4 | AG3 | AG4 | AG5 | AG4 | AG3 | AG4 | AG5 | AG5 | AG4 | AG5 | AG4 | AG5 | AG4 | AG3 | ||||||||||||||
| 11 | 14 | 2022-02-11 17:47:35 | 24 | en | 1753940870 | 2022-02-11 17:45:08 | 2022-02-11 17:47:35 | 2 | A25 | E5 | D2 | 2 | 8 | H3 | AG5 | AG4 | AG3 | AG2 | AG3 | 2 | AG4 | AG3 | AG4 | AG4 | AG5 | AG5 | AG5 | AG4 | AG5 | AG4 | AG4 | AG4 | AG3 | AG5 | AG4 | AG3 | AG4 | AG4 | AG5 | AG5 | AG4 | AG4 | AG3 | AG5 | AG5 | AG4 | AG4 | AG5 | AG4 | AG4 | AG3 | AG5 | AG4 | AG5 | AG4 | AG3 | AG5 | AG4 | AG5 | AG4 | AG5 | AG4 | AG5 | AG4 | AG4 | AG3 | AG5 | AG4 | AG4 | AG3 | AG5 | AG4 | AG4 | AG3 | AG3 | AG4 | AG5 | AG4 | AG5 | AG3 | AG5 | AG4 | AG4 | AG3 | AG3 | AG5 | AG5 | AG4 | AG4 | AG3 | AG5 | AG4 | AG3 | AG4 | AG3 | AG5 | AG3 | AG4 | AG4 | AG3 | 5 | 4 | 4 | 4 | 5 | 4 | 5 | 4 | 3 | 4 | 3 | 4 | 3 | 4 | AG5 | AG5 | AG4 | AG5 | AG4 | AG3 | AG3 | AG5 | AG5 | AG4 | AG4 | AG3 | AG4 | AG5 | AG4 | AG3 | AG4 | AG5 | AG4 | AG3 |