Python generate_most_recent_value_table Examples

Example #1

File: gender.py Project: tascha/DA2I-Dashboards

def update_unemployment_table(selected_country):
    return [
        utils.generate_most_recent_value_table(
            selected_country=selected_country,
            indicator="Unemp.Female",
            indicator_name="Women Unemployed"),
        utils.generate_most_recent_value_table(
            selected_country=selected_country,
            indicator="Unemp.Male",
            indicator_name="Men Unemployed")
    ]

Example #2

File: gender.py Project: tascha/DA2I-Dashboards

def update_neet_table(selected_country):
    return [
        utils.generate_most_recent_value_table(
            selected_country=selected_country,
            indicator="NEET.Female",
            indicator_name=
            "Young women not in employment, education, or training"),
        utils.generate_most_recent_value_table(
            selected_country=selected_country,
            indicator="NEET.Male",
            indicator_name="Young men not in employment, education, or training"
        )
    ]

Example #3

def update_fixed_broadband_subscription_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="fixed.broadband.100",
        indicator_name="Fixed broadband subscription",
        format_as_rate=True)

Example #4

def update_mobile_broadband_subscription_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="mobile.broadband.per.100",
        indicator_name="Mobile broadband subscription",
        format_as_rate=True)

Example #5

def update_mobile_broadband_cost_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="mobile.broadband.cost",
        indicator_name="Mobile Broadband cost as percent of GNI per capita")

Example #6

def update_3g_mobile_network_coverage_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="at.least.3G.coverage",
        indicator_name="3G Mobile Network Coverage")

Example #7

def update_households_with_computer_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="hh.computer",
        indicator_name="Homes with computer")

Example #8

def update_households_with_internet_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="hh.internet",
        indicator_name="Homes with Internet")

Example #9

def update_internet_population_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="ind.internet",
        indicator_name="Internet Population")

Example #10

File: gender.py Project: tascha/DA2I-Dashboards

def update_women_in_stem_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="women.in.stem",
        indicator_name="Women in Stem")

Example #11

File: gender.py Project: tascha/DA2I-Dashboards

def update_women_in_parliament_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="SG.GEN.PARL.ZS",
        indicator_name="Women in politics")

Example #12

File: gender.py Project: tascha/DA2I-Dashboards

def update_inequality_over_years_table(selected_country):
    return utils.generate_most_recent_value_table(
        selected_country=selected_country,
        indicator="GII",
        indicator_name="Gender Inequality Index")