GitHub
Welcome to Cloud Shell! Type "help" to get started. Your Cloud Platform project in this session is set to qwiklabs-gcp-00-caaddc51ae14. Use âgcloud config set project [PROJECT_ID]â to change to a different project. student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ gcloud auth list Credentialed Accounts ACTIVE: * ACCOUNT: student-00-bea2289b69fb@qwiklabs.net To set the active account, run: $ gcloud config set account `ACCOUNT` student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ gcloud config list project [core] project = qwiklabs-gcp-00-caaddc51ae14 Your active configuration is: [cloudshell-633] student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ gcloud config set accessibility/screen_reader true Updated property [accessibility/screen_reader]. student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ gcloud config set project -bash: syntax error near unexpected token `newline' student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ gcloud config set project -bash: syntax error near unexpected token `newline' student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ ls README-cloudshell.txt student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq show bigquery-public-data:samples.shakespeare Table bigquery-public-data:samples.shakespeare Last modified Schema Total Rows Total Bytes Expiration Time Partitioning Clustered Fields Labels ----------------- ------------------------------------ ------------ ------------- ------------ ------------------- ------------------ -------- 14 Mar 17:16:45 |- word: string (required) 164656 6432064 |- word_count: integer (required) |- corpus: string (required) |- corpus_date: integer (required) student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq help query Python script for interacting with BigQuery. USAGE: bq.py [--global_flags] [--command_flags] [args] query Execute a query. Query should be specified on command line, or passed on stdin. Examples: bq query 'select count(*) from publicdata:samples.shakespeare' echo 'select count(*) from publicdata:samples.shakespeare' | bq query Usage: query [] Flags for query: /usr/lib/google-cloud-sdk/platform/bq/bq.py: --[no]allow_large_results: Enables larger destination table sizes for legacy SQL queries. --[no]append_table: When a destination table is specified, whether or not to append. (default: 'false') --[no]batch: Whether to run the query in batch mode. Ignored if --priority flag is specified. --clustering_fields: Comma-separated list of field names that specifies the columns on which a table is clustered. To remove the clustering, set an empty value. --connection_property: Connection properties; repeat this option to specify a list of values --[no]create_session: Whether to create a new session and run the query in the sesson. --destination_kms_key: Cloud KMS key for encryption of the destination table data. --destination_schema: Schema for the destination table. Either a filename or a comma-separated list of fields in the form name[:type]. (default: '') --destination_table: Name of destination table for query results. (default: '') --display_name: Display name for the created scheduled query configuration. (default: '') --[no]dry_run: Whether the query should be validated without executing. --external_table_definition: Specifies a table name and either an inline table definition or a path to a file containing a JSON table definition to use in the query. The format is "table_name::path_to_file_with_json_def" or "table_name::schema@format=uri@connection". Note using connection is an experimental feature and is still under development.For example, "--external_table_definition=Example::/tmp/example_table_def.txt" will define a table named "Example" using the URIs and schema encoded in example_table_def.txt.; repeat this option to specify a list of values --[no]flatten_results: Whether to flatten nested and repeated fields in the result schema for legacy SQL queries. If not set, the default behavior is to flatten. --job_timeout_ms: Maximum time to run the entire script. --label: A label to set on a query job. The format is "key:value"; repeat this option to specify a list of values --max_child_jobs: Maximum number of child jobs to fetch results from after executing a script. If the number of child jobs exceeds this limit, only the final result will be displayed. (default: '1000') (an integer) -n,--max_rows: How many rows to return in the result. (default: '100') (an integer) --max_statement_results: Maximum number of script statements to display the results for. (default: '100') (an integer) --maximum_billing_tier: The upper limit of billing tier for the query. (an integer) --maximum_bytes_billed: The upper limit of bytes billed for the query. (an integer) --min_completion_ratio: [Experimental] The minimum fraction of data that must be scanned before a query returns. If not set, the default server value (1.0) will be used. (a number in the range [0, 1.0]) --parameter: Either a file containing a JSON list of query parameters, or a query parameter in the form "name:type:value". An empty name produces a positional parameter. The type may be omitted to assume STRING: name::value or ::value. The value "NULL" produces a null value.; repeat this option to specify a list of values --priority: : Query priority. If not specified, priority is determined using the --batch flag. Options include: HIGH (only available for whitelisted reservations) INTERACTIVE BATCH --range_partitioning: Enables range partitioning on the table. The format should be "field,start,end,interval". The table will be partitioned based on the value of the field. Field must be a top-level, non-repeated INT64 field. Start, end, and interval are INT64 values defining the ranges. --[no]replace: If true, erase existing contents before loading new data. (default: 'false') --request_id: The request_id to use for the jobs.query request. Only valid when used in combination with --rpc. --[no]require_cache: Whether to only run the query if it is already cached. --[no]require_partition_filter: Whether to require partition filter for queries over this table. Only apply to partitioned table. --[no]rpc: If true, use rpc-style query API instead of jobs.insert(). (default: 'false') --schedule: Scheduled query schedule. If non-empty, this query requests could create a scheduled query understand the customer project. See https://cloud.google.com/appengine/docs/flexible/python/scheduling-jobs-with-cron-yaml#the_schedule_format for the schedule format --schema_update_option: Can be specified when append to a table, or replace a table partition. When specified, the schema of the destination table will be updated with the schema of the new data. One or more of the following options can be specified: ALLOW_FIELD_ADDITION: allow new fields to be added ALLOW_FIELD_RELAXATION: allow relaxing required fields to nullable; repeat this option to specify a list of values --script_statement_byte_budget: Maximum bytes that can be billed for any statement in a script. --script_statement_timeout_ms: Maximum time to complete each statement in a script. --session_id: An existing session id where the query will be run. -s,--start_row: First row to return in the result. (default: '0') (an integer) --target_dataset: Target dataset used to create scheduled query. --time_partitioning_expiration: Enables time based partitioning on the table and sets the number of seconds for which to keep the storage for the partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value. (an integer) --time_partitioning_field: Enables time based partitioning on the table and the table will be partitioned based on the value of this field. If time based partitioning is enabled without this value, the table will be partitioned based on the loading time. --time_partitioning_type: Enables time based partitioning on the table and set the type. The default value is DAY, which will generate one partition per day. Other supported values are HOUR, MONTH, and YEAR. --udf_resource: The URI or local filesystem path of a code file to load and evaluate immediately as a User-Defined Function resource.; repeat this option to specify a list of values --[no]use_cache: Whether to use the query cache to avoid rerunning cached queries. --[no]use_legacy_sql: Whether to use Legacy SQL for the query. If not set, the default value is true. absl.flags: --flagfile: Insert flag definitions from the given file into the command line. (default: '') --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name. IMPORTANT: flags in this list that have arguments MUST use the --flag=value format. (default: '') Run 'bq.py --help' to get help for global flags. Run 'bq.py help' to see the list of available commands. student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq query --use_legacy_sql=false \ 'SELECT word, SUM(word_count) AS count FROM `bigquery-public-data`.samples.shakespeare WHERE word LIKE "%raisin%" GROUP BY word' +---------------+-------+ | word | count | +---------------+-------+ | praising | 8 | | Praising | 4 | | raising | 5 | | dispraising | 2 | | dispraisingly | 1 | | raisins | 1 | +---------------+-------+ student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq query --use_legacy_sql=false \ 'SELECT word FROM `bigquery-public-data`.samples.shakespeare WHERE word = "huzzah"' student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq ls student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ 200~bq ls bigquery-public-data:~ -bash: 200~bq: command not found student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq ls student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq ls bigquery-public-data: datasetId ------------------------------------- austin_311 austin_bikeshare austin_crime austin_incidents austin_waste baseball bitcoin_blockchain blackhole_database bls bls_qcew breathe broadstreet_adi catalonian_mobile_coverage catalonian_mobile_coverage_eu census_bureau_acs census_bureau_construction census_bureau_international census_bureau_usa census_utility cfpb_complaints chicago_crime chicago_taxi_trips cloud_storage_geo_index cms_codes cms_medicare cms_synthetic_patient_data_omop covid19_aha covid19_ecdc covid19_ecdc_eu covid19_geotab_mobility_impact covid19_geotab_mobility_impact_eu covid19_google_mobility covid19_google_mobility_eu covid19_govt_response covid19_italy covid19_italy_eu covid19_jhu_csse covid19_jhu_csse_eu covid19_nyt covid19_open_data covid19_open_data_eu covid19_public_forecasts covid19_public_forecasts_asia_ne1 covid19_rxrx19 covid19_symptom_search covid19_tracking covid19_usafacts covid19_vaccination_access covid19_vaccination_search_insights covid19_weathersource_com student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq mk babynames Dataset 'qwiklabs-gcp-00-caaddc51ae14:babynames' successfully created. student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq ls datasetId ----------- babynames student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ curl -LO http://www.ssa.gov/OACT/babynames/names.zip % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 100 7231k 100 7231k 0 0 270k 0 0:00:26 0:00:26 --:--:-- 294k student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ ls names.zip README-cloudshell.txt student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ unzip names.zip Archive: names.zip inflating: yob1880.txt inflating: yob1881.txt inflating: yob1882.txt inflating: yob1883.txt inflating: yob1884.txt inflating: yob1885.txt inflating: yob1886.txt inflating: yob1887.txt inflating: yob1888.txt inflating: yob1889.txt inflating: yob1890.txt inflating: yob1891.txt inflating: yob1892.txt inflating: yob1893.txt inflating: yob1894.txt inflating: yob1895.txt inflating: yob1896.txt inflating: yob1897.txt inflating: yob1898.txt inflating: yob1899.txt inflating: yob1900.txt inflating: yob1901.txt inflating: yob1902.txt inflating: yob1903.txt inflating: yob1904.txt inflating: yob1905.txt inflating: yob1906.txt inflating: yob1907.txt inflating: yob1908.txt inflating: yob1909.txt inflating: yob1910.txt inflating: yob1911.txt inflating: yob1912.txt inflating: yob1913.txt inflating: yob1914.txt inflating: yob1915.txt inflating: yob1916.txt inflating: yob1917.txt inflating: yob1918.txt inflating: yob1919.txt inflating: yob1920.txt inflating: yob1921.txt inflating: yob1922.txt inflating: yob1923.txt inflating: yob1924.txt inflating: yob1925.txt inflating: yob1926.txt inflating: yob1927.txt inflating: yob1928.txt inflating: yob1929.txt inflating: yob1930.txt inflating: yob1931.txt inflating: yob1932.txt inflating: yob1933.txt inflating: yob1934.txt inflating: yob1935.txt inflating: yob1936.txt inflating: yob1937.txt inflating: yob1938.txt inflating: yob1939.txt inflating: yob1940.txt inflating: yob1941.txt inflating: yob1942.txt inflating: yob1943.txt inflating: yob1944.txt inflating: yob1945.txt inflating: yob1946.txt inflating: yob1947.txt inflating: yob1948.txt inflating: yob1949.txt inflating: yob1950.txt inflating: yob1951.txt inflating: yob1952.txt inflating: yob1953.txt inflating: yob1954.txt inflating: yob1955.txt inflating: yob1956.txt inflating: yob1957.txt inflating: yob1958.txt inflating: yob1959.txt inflating: yob1960.txt inflating: yob1961.txt inflating: yob1962.txt inflating: yob1963.txt inflating: yob1964.txt inflating: yob1965.txt inflating: yob1966.txt inflating: yob1967.txt inflating: yob1968.txt inflating: yob1969.txt inflating: yob1970.txt inflating: yob1971.txt inflating: yob1972.txt inflating: yob1973.txt inflating: yob1974.txt inflating: yob1975.txt inflating: yob1976.txt inflating: yob1977.txt inflating: yob1978.txt inflating: yob1979.txt inflating: yob1980.txt inflating: yob1981.txt inflating: yob1982.txt inflating: yob1983.txt inflating: yob1984.txt inflating: yob1985.txt inflating: yob1986.txt inflating: yob1987.txt inflating: yob1988.txt inflating: yob1989.txt inflating: yob1990.txt inflating: yob1991.txt inflating: yob1992.txt inflating: yob1993.txt inflating: yob1994.txt inflating: yob1995.txt inflating: yob1996.txt inflating: yob1997.txt inflating: yob1998.txt inflating: yob1999.txt inflating: yob2000.txt inflating: yob2001.txt inflating: yob2002.txt inflating: yob2003.txt inflating: yob2004.txt inflating: yob2005.txt inflating: yob2006.txt inflating: yob2007.txt inflating: yob2008.txt inflating: yob2009.txt inflating: yob2010.txt inflating: yob2011.txt inflating: yob2012.txt inflating: yob2013.txt inflating: yob2014.txt inflating: yob2015.txt inflating: yob2016.txt inflating: yob2017.txt inflating: yob2018.txt inflating: yob2019.txt inflating: yob2020.txt inflating: yob2021.txt inflating: NationalReadMe.pdf student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ ls names.zip yob1888.txt yob1899.txt yob1910.txt yob1921.txt yob1932.txt yob1943.txt yob1954.txt yob1965.txt yob1976.txt yob1987.txt yob1998.txt yob2009.txt yob2020.txt NationalReadMe.pdf yob1889.txt yob1900.txt yob1911.txt yob1922.txt yob1933.txt yob1944.txt yob1955.txt yob1966.txt yob1977.txt yob1988.txt yob1999.txt yob2010.txt yob2021.txt README-cloudshell.txt yob1890.txt yob1901.txt yob1912.txt yob1923.txt yob1934.txt yob1945.txt yob1956.txt yob1967.txt yob1978.txt yob1989.txt yob2000.txt yob2011.txt yob1880.txt yob1891.txt yob1902.txt yob1913.txt yob1924.txt yob1935.txt yob1946.txt yob1957.txt yob1968.txt yob1979.txt yob1990.txt yob2001.txt yob2012.txt yob1881.txt yob1892.txt yob1903.txt yob1914.txt yob1925.txt yob1936.txt yob1947.txt yob1958.txt yob1969.txt yob1980.txt yob1991.txt yob2002.txt yob2013.txt yob1882.txt yob1893.txt yob1904.txt yob1915.txt yob1926.txt yob1937.txt yob1948.txt yob1959.txt yob1970.txt yob1981.txt yob1992.txt yob2003.txt yob2014.txt yob1883.txt yob1894.txt yob1905.txt yob1916.txt yob1927.txt yob1938.txt yob1949.txt yob1960.txt yob1971.txt yob1982.txt yob1993.txt yob2004.txt yob2015.txt yob1884.txt yob1895.txt yob1906.txt yob1917.txt yob1928.txt yob1939.txt yob1950.txt yob1961.txt yob1972.txt yob1983.txt yob1994.txt yob2005.txt yob2016.txt yob1885.txt yob1896.txt yob1907.txt yob1918.txt yob1929.txt yob1940.txt yob1951.txt yob1962.txt yob1973.txt yob1984.txt yob1995.txt yob2006.txt yob2017.txt yob1886.txt yob1897.txt yob1908.txt yob1919.txt yob1930.txt yob1941.txt yob1952.txt yob1963.txt yob1974.txt yob1985.txt yob1996.txt yob2007.txt yob2018.txt yob1887.txt yob1898.txt yob1909.txt yob1920.txt yob1931.txt yob1942.txt yob1953.txt yob1964.txt yob1975.txt yob1986.txt yob1997.txt yob2008.txt yob2019.txt student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq load babynames.names2010 yob2010.txt name:string,gender:string,count:integer Upload complete. Waiting on bqjob_r51f4afab0a557e40_00000181441c98fc_1 ... (1s) Current status: DONE student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq ls babynames tableId Type Labels Time Partitioning Clustered Fields ----------- ------- -------- ------------------- ------------------ names2010 TABLE student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq show babynames.names2010 Table qwiklabs-gcp-00-caaddc51ae14:babynames.names2010 Last modified Schema Total Rows Total Bytes Expiration Time Partitioning Clustered Fields Labels ----------------- ------------------- ------------ ------------- ----------------- ------------------- ------------------ -------- 08 Jun 16:18:57 |- name: string 34089 654791 07 Aug 16:18:57 |- gender: string |- count: integer student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq query "SELECT name,count FROM babynames.names2010 WHERE gender = 'F' ORDER BY count DESC LIMIT 5" Waiting on bqjob_r3d9cdc571f84e7b1_00000181441d69b0_1 ... (0s) Current status: DONE +----------+-------+ | name | count | +----------+-------+ | Isabella | 22925 | | Sophia | 20648 | | Emma | 17354 | | Olivia | 17030 | | Ava | 15436 | +----------+-------+ student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq query "SELECT name,count FROM babynames.names2010 WHERE gender = 'M' ORDER BY count ASC LIMIT 5" Waiting on bqjob_r7c3e7c9d164aeee6_00000181441d9d21_1 ... (0s) Current status: DONE +----------+-------+ | name | count | +----------+-------+ | Aaqib | 5 | | Aaidan | 5 | | Aadhavan | 5 | | Aarian | 5 | | Aamarion | 5 | +----------+-------+ student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq rm -r babynames rm: remove dataset 'qwiklabs-gcp-00-caaddc51ae14:babynames'? (y/N) y student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ ls names.zip yob1888.txt yob1899.txt yob1910.txt yob1921.txt yob1932.txt yob1943.txt yob1954.txt yob1965.txt yob1976.txt yob1987.txt yob1998.txt yob2009.txt yob2020.txt NationalReadMe.pdf yob1889.txt yob1900.txt yob1911.txt yob1922.txt yob1933.txt yob1944.txt yob1955.txt yob1966.txt yob1977.txt yob1988.txt yob1999.txt yob2010.txt yob2021.txt README-cloudshell.txt yob1890.txt yob1901.txt yob1912.txt yob1923.txt yob1934.txt yob1945.txt yob1956.txt yob1967.txt yob1978.txt yob1989.txt yob2000.txt yob2011.txt yob1880.txt yob1891.txt yob1902.txt yob1913.txt yob1924.txt yob1935.txt yob1946.txt yob1957.txt yob1968.txt yob1979.txt yob1990.txt yob2001.txt yob2012.txt yob1881.txt yob1892.txt yob1903.txt yob1914.txt yob1925.txt yob1936.txt yob1947.txt yob1958.txt yob1969.txt yob1980.txt yob1991.txt yob2002.txt yob2013.txt yob1882.txt yob1893.txt yob1904.txt yob1915.txt yob1926.txt yob1937.txt yob1948.txt yob1959.txt yob1970.txt yob1981.txt yob1992.txt yob2003.txt yob2014.txt yob1883.txt yob1894.txt yob1905.txt yob1916.txt yob1927.txt yob1938.txt yob1949.txt yob1960.txt yob1971.txt yob1982.txt yob1993.txt yob2004.txt yob2015.txt yob1884.txt yob1895.txt yob1906.txt yob1917.txt yob1928.txt yob1939.txt yob1950.txt yob1961.txt yob1972.txt yob1983.txt yob1994.txt yob2005.txt yob2016.txt yob1885.txt yob1896.txt yob1907.txt yob1918.txt yob1929.txt yob1940.txt yob1951.txt yob1962.txt yob1973.txt yob1984.txt yob1995.txt yob2006.txt yob2017.txt yob1886.txt yob1897.txt yob1908.txt yob1919.txt yob1930.txt yob1941.txt yob1952.txt yob1963.txt yob1974.txt yob1985.txt yob1996.txt yob2007.txt yob2018.txt yob1887.txt yob1898.txt yob1909.txt yob1920.txt yob1931.txt yob1942.txt yob1953.txt yob1964.txt yob1975.txt yob1986.txt yob1997.txt yob2008.txt yob2019.txt student_00_bea2289b69fb@cloudshell:~ (qwiklabs-gcp-00-caaddc51ae14)$ bq rm -r babynames BigQuery error in rm operation: Not found: Dataset qwiklabs-gcp-00-caaddc51ae14:babynames.
â 2 | đ´ 1
GitHub
CAREER FOCUS/BIOGRAPHY SUMMARY: John was born and raised at Korania Village, Navrongo in the Upper East Region (UER) of Ghana. He worked for the Ghana Cocoa Industry for nearly 17 years, as Depot-keeper for the Upper East Region, where he represented the Labor Union as National Secretary. He was later elected into the Ghana Industrial & Commercial Workers Unionâs (ICU/TUC) as National Executive Council (NEC), and Financial Committee member. John lived in Ghana for 42 years before relocating with his family to United States in June, 1997, then obtained US-citizenship in 2004. A motivated computer professional with a Masterâs Degree in Information Systems, he also has a Minor Degree in Marketing. For a little over12 years, John was employed as Campus IT Support Specialist for Strayer University, Washington D.C. Campus where his tasks included supporting about 60 staff and over 1,000 students utilizing up to 310 on-campus office and classrooms equipment. Whilst there, he also analyzed science, engineering, business, and other data processing and communications network problems to help implement and improve the computer systems, as well as successful monitoring of security measures for the protection of computer networks and information. Additional responsibilities included responding to computer security breaches, viruses, and routine network maintenance to ensure networks operate correctly with minimal interruption. Generally, John is thus investigative, artistic, social, enterprising, and conventional (I.A.S.E.C.), as well as, an attentive and brilliant, but a shy individual. Who is a very fast learner, reliable and does not waste time. He is always exploring for more social answers. No wonder since October 2012 up to now, that is, after he lost his job to cyclical unemployment; he has, been with the African Women's Health Network, (AWHN) headquartered in Ghana, as Co-Founder. John has been volunteering, too, from his USA-based home, as AWHNâs Systems Analyst/IT Support Specialist. Hence, he is able to examine the probabilities and/or capabilities of networking and operating the African Womenâs Health Network Talk & Music Show, the AWHNR, remotely, with the assistance he is currently enjoying from the Be Bless Foundation and Afro Carib Radio professionals, and globally. To help save lives by globally linking communities with skilled-delivery programs and services at the rural areas, encouraging family planning services, ensuring women's economic empowerment, capacity building, diversity and tolerance, as well as, safeguarding maternal and child health services, are his primary areas of interest; yes, Johnâs interest areas are so very broad indeed. John, enjoys reconnoitering with Animal Welfare, Arts and Culture, Children, Civil Rights and Social Action, Economic Empowerment, Education, Environment, Health, Human Rights, Disaster and Humanitarian Relief, Politics, Poverty Alleviation, Science and Technology, and Social Services. And he enjoys making new friends. During his leisure periods, John loves watching soccer, football, basketball and baseball games. John is married with 2 children. [http://www.awhnghana.org (Official Website)]
â 1 | đ´ 4
