ओपन डेटा संकलन

कैसे जोड़ें： Align by administrative district and housing complex name: allocation records tell you what price the government sold at back then, real-price registration tells you what the same address is worth today, and the social housing statistics give the volumes after the shift from selling to renting.

सबसे अच्छा विश्लेषण कैसे करें： Build a time series for the same complex, then segment it by policy milestones: allocation sales in 1985, the resale wall coming down in 2002, rent-only-no-sale in 2016, Taoyuan's return to selling in 2026. The appreciation multiple divided by the years elapsed is the slope of the 'asset escalator'.

कैसे जोड़ें： Generation performance gives annual output and capacity factors; the unit table gives each reactor's decommissioning date. Align the two tables by year, then overlay the referendum and policy milestones.

सबसे अच्छा विश्लेषण कैसे करें： Draw an annual capacity-factor curve and mark the three referendums (2018, 2021, 2025): how the curve descends to zero, and whether a single number moves within a year of each vote — the time lag between 'political decisions' and 'physical reality' surfaces on its own.

कैसे जोड़ें： Enrollment counts by age bracket yield the structural ratio of those who pay to those who use; the minutes give the timeline of premium-rate decisions; the subsidy statistics show the implementation side of ability-to-pay.

सबसे अच्छा विश्लेषण कैसे करें： Turn the age-structure ratio into a quarterly series and overlay the premium-rate decisions: the structure keeps deteriorating while the rate stays put, so what fills the gap (budget injections, point values, copayments)? Every 'maintain without adjustment' in the minutes has a corresponding cost entry.

कैसे जोड़ें： Voter counts give each election's electorate; the conviction statistics give the yearly conviction volumes for vote-buying and election interference. Both slice by county and align with election results.

सबसे अच्छा विश्लेषण कैसे करें： Build an 'electorate × conviction rate' pairing for each election cycle and compare enforcement intensity across cycles. The 2026 round adds AI disinformation as a new enforcement focus — establish the baseline for the two traditional categories (vote-buying, interference) first, so the scale of the new threat has a frame of reference.

कैसे जोड़ें： The five-year census by DGBAS (Directorate-General of Budget, Accounting and Statistics) gives the national vendor population (stall counts, workers, revenue); the county registries give the roster of night markets officially recognized by government.

सबसे अच्छा विश्लेषण कैसे करें： Cross-census comparison is the key: five-year changes in stall counts and revenue, set against mobile-payment penetration and tourist arrivals. When the next census lands, every article citing the 233,000-stall figure should come back and reconcile.

कैसे जोड़ें： Vehicle registrations give the denominator (exposure); crash casualties give the numerator. Use the long county-level series (24 years for Taoyuan) as the methodological template first, then extend to other counties.

सबसे अच्छा विश्लेषण कैसे करें： Don't stop at absolute death counts — normalize to casualties per 100,000 vehicles, computed separately for scooters and cars; the 'pedestrian hell' debate needs exactly this denominator.