COVID-19 Data Visualization Dashboard

01Dataset ingestion

Load your dataset, or analyse the embedded 2020–2022 baseline

Runs entirely in-browser using SheetJS. Files are parsed and validated locally against the schema before rendering—no server uploads or network calls.

Drop a CSV or Excel file to analyse

Supports .csv, .xlsx and .xls — first sheet is read

State · Year · Cases · Deaths · Recovered · Vaccinated

02Aggregate overview

Headline metrics for the current selection

—

Confirmed cases

0

—

Active cases

0

—

Deaths

0

0.00%

Case fatality rate · deaths ÷ cases

Recovered

0

0.00%

Recovery rate · recovered ÷ cases

Doses administered

0

—

Peak case year

—

—

—

Most affected state

—

—

—

03Geographic Distribution

Interactive Choropleth Map

Hover to see total aggregated statistics (2020-2022). Click a state to filter the dashboard.

Cumulative State Intensity Map

Initializing map...

05State deep-dive

One state, in full detail

Pick a state in the filter bar, or choose any of the 36 states and UTs below.

Select a state to open its profile

You'll get its case ledger by year, fatality and recovery rates, vaccination roll-out and where it ranks nationally.

06Comparison

Put two states side by side

Comparison respects the year filter but ignores the state filter, so you can always contrast a pair.

Metric A B Difference Higher

Metric comparison

Logarithmic axis — vaccination doses exceed death counts by several orders of magnitude.

Verdict

—

07Record audit

Every record, with derived columns

—

State Year Total cases Deaths Recovered Active cases Vaccinations Recovery rate Death rate

—

08Automated insights

What the current selection actually says

09Human Context

The socio-economic duality of the COVID-19 era

Beyond the quantitative data, the pandemic forced a fundamental reshaping of global ecology, economic infrastructure, and daily human life.

Adaptive Triumphs & Silver Linings

Technological acceleration and ecological respites

  • Ecological Respite: Severe restrictions on vehicular and industrial movement led to drastically cleaner air quality and lower global carbon emissions.
  • Wildlife Reclaiming Spaces: Reduced human interference allowed animals to temporarily migrate back into urban spaces and natural habitats to regenerate.
  • Digital Transformation: A decade of technological adoption was compressed into months, mainstreaming remote work (WFH) and digital collaboration.
  • Strategic Vaccine Rollout: Global immunization campaigns successfully prioritized frontline healthcare workers and "Corona Warriors" to stabilize medical systems.
  • Ed-Tech Evolution: The rapid shift to online classes drove massive innovation in digital learning platforms and accessibility tools.
  • Telemedicine Surge: Healthcare delivery was modernized with remote consultations, reducing hospital footfall for minor ailments.
  • Cashless Economy: Fear of surface transmission vastly accelerated the adoption of UPI and contactless digital payment infrastructure.
  • Medical Innovation: The unprecedented speed of mRNA vaccine development set a new historical benchmark for global scientific collaboration.
  • Hygiene Awareness: Heightened global consciousness regarding hand sanitation, public coughing etiquette, and personal health monitoring.
  • Community Solidarity: Localized support networks, volunteer groups, and citizen-led resource tracking emerged to assist vulnerable populations.

Socio-Economic Disruptions

Systemic failures and humanitarian crises

  • The Migrant Crisis: Sudden lockdowns triggered mass exoduses, leaving millions of daily wage earners stranded on highways without food or transport.
  • Economic Recession: Unprecedented GDP contractions resulted in widespread business closures, sweeping layoffs, and loss of livelihoods.
  • The Digital Divide: Millions of underprivileged students were entirely cut off from their education due to a lack of internet or smartphone access.
  • Housing Insecurity: Drastic income loss led to evictions, driving spikes in homelessness and plunging vulnerable families into severe poverty.
  • Infrastructure Collapse: Peak waves overwhelmed medical grids, resulting in catastrophic shortages of hospital beds, ventilators, and medical oxygen.
  • Mental Health Toll: Prolonged isolation, grief, and uncertainty triggered a secondary epidemic of anxiety, depression, and psychological distress.
  • Supply Chain Paralysis: Closed borders disrupted global manufacturing, causing critical shortages in everything from microchips to basic pharmaceuticals.
  • Collateral Health Neglect: Fear of hospital transmission caused dangerous delays in treating non-COVID critical illnesses like cancer and cardiac conditions.
  • Social Isolation: Vulnerable demographics, particularly the elderly, faced extreme loneliness and a loss of community support systems.
  • Widening Inequality: The economic fallout disproportionately devastated lower-income brackets while wealth rapidly consolidated at the top.