Name: Rampant Ravages
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Rampant Ravages

this graph was created in Power Bi and code R :

Lead poisoning, though often relegated to the shadows of public awareness, exacts a staggering toll, contributing approximately 1% to the colossal burden of global disease. Yet, amidst its ominous prevalence, this perilous issue remains shrouded in relative obscurity.

Individually, the ramifications are profound. The insidious infiltration of lead into the environment imperils the delicate trajectory of childhood development, impeding neural maturation and precipitating a cascade of cognitive impairments. With each exposure, the potential for irreversible harm looms large – manifesting as diminished IQ, compromised cognitive function, and a disconcerting surge in antisocial behavior.

However, amidst the pervasive gloom, glimmers of hope emerge. Across the globe, concerted efforts are underway, heralding progress in the relentless crusade against lead pollution. Through collaborative initiatives and unwavering resolve, nations are forging a path towards redemption, striving to mitigate the pervasive scourge of lead toxicity.

Within these pages lie a compendium of insights, data-driven revelations, and illuminating visualizations, offering a panoramic view of the labyrinthine complexities of lead pollution. Acknowledgments are due to Lucia Coulter and Clare Donaldson of the Lead Exposure Elimination Project, whose invaluable contributions have fortified this endeavor. Gratitude is also extended to Max Roser for his astute feedback and invaluable counsel, guiding this work towards its fruition.

As we navigate the treacherous terrain of lead pollution, let us seize this collective imperative with unwavering determination, for in the crucible of concerted action lies the promise of a future unburdened by the shadow of lead's silent terror.

Tables

Numberofdeathsbyriskfactor New

@kaggle.willianoliveiragibin_rampant_ravages.numberofdeathsbyriskfactor_new

2.02 MB
6,840 rows
31 columns

CREATE TABLE numberofdeathsbyriskfactor_new (
  "country" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_that_are_from_all_causes_attributed_to_high_sys_c0185004" VARCHAR  -- Deaths That Are From All Causes Attributed To High Systolic Blood Pressure, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_diet_hig_93477ed7" VARCHAR  -- Deaths That Are From All Causes Attributed To Diet High In Sodium, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_diet_low_99924001" VARCHAR  -- Deaths That Are From All Causes Attributed To Diet Low In Whole Grains, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_alcohol__5c90f4ea" VARCHAR  -- Deaths That Are From All Causes Attributed To Alcohol Use, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_diet_low_b864c8f6" VARCHAR  -- Deaths That Are From All Causes Attributed To Diet Low In Fruits, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_unsafe_w_6491a500" VARCHAR  -- Deaths That Are From All Causes Attributed To Unsafe Water Source, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_secondha_5491afda" VARCHAR  -- Deaths That Are From All Causes Attributed To Secondhand Smoke, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_low_birt_91ab930e" VARCHAR  -- Deaths That Are From All Causes Attributed To Low Birth Weight, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_child_wa_02811abd" VARCHAR  -- Deaths That Are From All Causes Attributed To Child Wasting, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_unsafe_s_deb1047b" VARCHAR  -- Deaths That Are From All Causes Attributed To Unsafe Sex, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_diet_low_c67aec86" VARCHAR  -- Deaths That Are From All Causes Attributed To Diet Low In Nuts And Seeds, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_househol_f43e853c" VARCHAR  -- Deaths That Are From All Causes Attributed To Household Air Pollution From Solid Fuels, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_diet_low_f277a88e" VARCHAR  -- Deaths That Are From All Causes Attributed To Diet Low In Vegetables, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_smoking__2cae78b4" VARCHAR  -- Deaths That Are From All Causes Attributed To Smoking, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_high_fas_a4995154" VARCHAR  -- Deaths That Are From All Causes Attributed To High Fasting Plasma Glucose, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_air_poll_99e996df" VARCHAR  -- Deaths That Are From All Causes Attributed To Air Pollution, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_high_bod_047ddb77" VARCHAR  -- Deaths That Are From All Causes Attributed To High Body-mass Index, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_unsafe_s_99294965" VARCHAR  -- Deaths That Are From All Causes Attributed To Unsafe Sanitation, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_drug_use_89e32c47" VARCHAR  -- Deaths That Are From All Causes Attributed To Drug Use, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_low_bone_60a4ae97" VARCHAR  -- Deaths That Are From All Causes Attributed To Low Bone Mineral Density, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_vitamin__4c3a93ac" VARCHAR  -- Deaths That Are From All Causes Attributed To Vitamin A Deficiency, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_child_st_a0391e0d" VARCHAR  -- Deaths That Are From All Causes Attributed To Child Stunting, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_non_excl_06051a20" VARCHAR  -- Deaths That Are From All Causes Attributed To Non-exclusive Breastfeeding, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_iron_def_543a80ca" VARCHAR  -- Deaths That Are From All Causes Attributed To Iron Deficiency, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_ambient__746a3405" VARCHAR  -- Deaths That Are From All Causes Attributed To Ambient Particulate Matter Pollution, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_low_phys_216f470c" VARCHAR  -- Deaths That Are From All Causes Attributed To Low Physical Activity, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_no_acces_e563291d" VARCHAR  -- Deaths That Are From All Causes Attributed To No Access To Handwashing Facility, In Both Sexes Aged All Ages,
  "deaths_that_are_from_all_causes_attributed_to_high_ldl_f1a9bf3f" VARCHAR  -- Deaths That Are From All Causes Attributed To High Ldl Cholesterol, In Both Sexes Aged All Ages
);