Vishal Singh
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Dataset·Demographics·parquet

ZIP psychographic baseline parquet

ZIP-level baseline psychographic or latent-factor data stored as parquet.

Download parquet · 639 KB
Rows
1,400
Columns
59
Format
parquet
Size
639 KB

Grain
Likely one row per ZIP or ZIP-like geography.

Teaching uses

  • Build ZIP-level psychographic segmentation maps.
  • Join psychographic factors to health, demographic, or market data.
  • Use as baseline covariates for clustering or targeting exercises.

Columns 59

NameTypeNullUniqueExamples
zipBYTE_ARRAY0%——
pre_instant_shareDOUBLE0%——
pre_quickdraw_shareDOUBLE0%——
pre_daily_shareDOUBLE0%——
pre_jackpot_shareDOUBLE0%——
pre_jackpot_alt_shareDOUBLE0%——
pre_rapid_resolution_shareDOUBLE0%——
pre_social_channel_shareDOUBLE0%——
pre_routine_checkout_shareDOUBLE0%——
pre_incidental_shareDOUBLE0%——
pre_chain_shareDOUBLE0%——
pre_bar_shareDOUBLE0%——
pre_liquor_shareDOUBLE0%——
pre_convenience_shareDOUBLE0%——
pre_grocery_shareDOUBLE0%——
pre_pharmacy_shareDOUBLE0%——
pre_newsstand_shareDOUBLE0%——
pre_gas_shareDOUBLE0%——
pre_megaplier_rateDOUBLE0%——
pre_powerplay_rateDOUBLE0%——
pre_jtj_rateDOUBLE0%——
pre_mm_depth_indexDOUBLE0%——
pre_general_addonDOUBLE0%——
pre_scratch_payout_rateDOUBLE0%——
pre_draw_payout_rateDOUBLE0%——
pre_weekend_shareDOUBLE0%——
pre_dow_entropyDOUBLE0%——
pre_mm_drawday_concDOUBLE0%——
pre_pb_drawday_concDOUBLE0%——
pre_portfolio_entropyDOUBLE0%——
pre_portfolio_hhiDOUBLE0%——
pre_channel_entropyDOUBLE0%——
pre_total_lotteryDOUBLE0%——
pre_instant_gamesDOUBLE0%——
pre_quickdrawDOUBLE0%——
pre_daily_numbersDOUBLE0%——
pre_jackpot_drawDOUBLE0%——
pre_jackpot_altDOUBLE0%——
pre_mega_baseDOUBLE0%——
pre_pb_baseDOUBLE0%——
pre_mm_familyDOUBLE0%——
pre_pb_familyDOUBLE0%——
pre_megaplierDOUBLE0%——
pre_powerplayDOUBLE0%——
pre_jtjDOUBLE0%——
pre_instant_paidDOUBLE0%——
pre_draw_paidDOUBLE0%——
pre_n_retailersDOUBLE0%——
pre_cv_totalDOUBLE<0.1%——
pre_autocorr_totalDOUBLE<0.1%——
pre_habit_indexDOUBLE<0.1%——
pre_speed_entropyDOUBLE0%——
median_incomeDOUBLE<0.1%——
per_capita_incomeDOUBLE<0.1%——
per_underpovertyDOUBLE<0.1%——
per_college_aboveDOUBLE<0.1%——
per_blackDOUBLE<0.1%——
per_hispanicDOUBLE<0.1%——
total_popDOUBLE<0.1%——

Source context: · inferred from filename