library(readr)
Skill1_VoterSurvey<-read.csv("/Users/juliushunte/Downloads/VOTER_Survey_July17_Release1-csv copy.csv")
head(Skill1_VoterSurvey)## case_identifier weight_2017 wishvote2016_2017 regretvote2016_2017
## 1 779 0.4381949 NA 2
## 2 2108 0.3659623 NA 2
## 3 2597 0.5498009 NA 2
## 4 4148 NA NA NA
## 5 4460 0.3459162 NA 2
## 6 5225 0.1476409 NA 2
## redovote2016_2017 redovote2016_t_2017 vote2018_2017 vote2018_force_2017
## 1 1 __NA__ 2 NA
## 2 2 __NA__ 1 NA
## 3 1 __NA__ 2 NA
## 4 NA NA NA
## 5 2 __NA__ 1 NA
## 6 1 __NA__ 2 NA
## trumpapp_2017 fav_trump_2017 fav_ryan_2017 fav_obama_2017 fav_hrc_2017
## 1 4 4 3 1 1
## 2 1 1 1 3 4
## 3 4 4 4 1 1
## 4 NA NA NA NA NA
## 5 2 2 3 3 4
## 6 4 4 4 1 1
## fav_sanders_2017 fav_putin_2017 political_system_strong_leader_2
## 1 1 4 4
## 2 3 3 4
## 3 2 4 4
## 4 NA NA NA
## 5 3 3 4
## 6 2 4 4
## political_system_army_2017 political_system_democratic_2017
## 1 4 1
## 2 4 1
## 3 4 1
## 4 NA NA
## 5 4 1
## 6 4 1
## democracy_importance_2017 democracy_preference_2017
## 1 10 1
## 2 10 1
## 3 10 1
## 4 NA NA
## 5 10 1
## 6 10 1
## us_democracy_satisfaction_2017 pres_obey_courts_2017 pres_oversight_2017
## 1 2 2 1
## 2 2 2 1
## 3 2 2 1
## 4 NA NA NA
## 5 2 2 1
## 6 2 2 1
## pres_news_scrutiny_2017 track_2017 track_moral_climate_2017
## 1 1 2 2
## 2 2 1 2
## 3 1 2 2
## 4 NA NA NA
## 5 1 3 2
## 6 1 2 2
## persfinretro_2017 econtrend_2017 Americatrend_2017
## 1 2 2 1
## 2 3 1 2
## 3 2 2 1
## 4 NA NA NA
## 5 2 1 2
## 6 2 2 1
## living_standards_parents_2017 futuretrend_2017 american_dream_2017
## 1 1 2 3
## 2 1 1 2
## 3 1 3 1
## 4 NA NA NA
## 5 1 1 2
## 6 1 2 3
## values_culture_2017 US_respect_2017 stranger_2017 promise_parent_2017
## 1 2 3 2 5
## 2 3 2 4 3
## 3 3 3 3 3
## 4 NA NA NA NA
## 5 2 3 3 3
## 6 1 3 3 1
## promise_repeal_aca_2017 promise_wall_2017 promise_immigration_2017
## 1 5 5 5
## 2 1 2 1
## 3 4 5 4
## 4 NA NA NA
## 5 1 2 1
## 6 5 5 5
## promise_tpp_2017 promise_tax_2017 promise_corruption_2017
## 1 4 3 5
## 2 2 2 1
## 3 5 2 2
## 4 NA NA NA
## 5 1 1 1
## 6 5 2 1
## promise_success_parent_2017 promise_success_repeal_aca_2017
## 1 3 5
## 2 2 2
## 3 5 5
## 4 NA NA
## 5 3 2
## 6 5 5
## promise_success_wall_2017 promise_success_immigration_2017
## 1 5 3
## 2 2 3
## 3 4 3
## 4 NA NA
## 5 3 1
## 6 5 4
## promise_success_tpp_2017 promise_success_tax_2017
## 1 3 4
## 2 2 2
## 3 5 3
## 4 NA NA
## 5 1 2
## 6 4 5
## promise_success_corruption_2017 blame_trump_2017 blame_media_2017
## 1 4 1 3
## 2 2 1 3
## 3 4 3 1
## 4 NA NA NA
## 5 3 1 3
## 6 5 1 4
## blame_dems_2017 blame_reps_2017 blame_courts_2017 trustgovt_2017
## 1 3 1 2 3
## 2 1 1 1 3
## 3 4 3 1 3
## 4 NA NA NA NA
## 5 4 2 2 3
## 6 3 1 1 2
## ft_black_2017 ft_white_2017 ft_hisp_2017 ft_asian_2017 ft_muslim_2017
## 1 51 50 79 50 50
## 2 98 90 95 100 61
## 3 87 90 91 88 49
## 4 NA NA NA NA NA
## 5 90 85 90 96 80
## 6 100 50 100 100 100
## ft_jew_2017 ft_christ_2017 ft_fem_2017 ft_immig_2017 ft_gays_2017
## 1 50 50 99 95 50
## 2 100 98 65 96 82
## 3 25 50 74 77 77
## 4 NA NA NA NA NA
## 5 91 94 25 91 71
## 6 100 28 100 100 100
## ft_unions_2017 ft_police_2017 ft_altright_2017 ft_evang_2017 ft_dem_2017
## 1 80 76 1 50 88
## 2 62 95 50 96 86
## 3 100 78 0 2 91
## 4 NA NA NA NA NA
## 5 20 94 50 70 22
## 6 100 28 NA NA 99
## ft_rep_2017 imiss_a_2017 imiss_b_2017 imiss_c_2017 imiss_d_2017
## 1 21 1 2 2 1
## 2 96 1 1 2 3
## 3 20 1 1 2 1
## 4 NA NA NA NA NA
## 5 83 1 1 2 1
## 6 NA 2 2 2 1
## imiss_e_2017 imiss_f_2017 imiss_g_2017 imiss_h_2017 imiss_i_2017
## 1 1 2 1 1 2
## 2 1 1 4 3 3
## 3 3 1 2 1 3
## 4 NA NA NA NA NA
## 5 1 1 3 1 2
## 6 4 2 1 1 1
## imiss_j_2017 imiss_k_2017 imiss_l_2017 imiss_m_2017 imiss_n_2017
## 1 1 1 1 1 1
## 2 1 3 4 2 2
## 3 1 1 1 1 1
## 4 NA NA NA NA NA
## 5 1 2 4 1 1
## 6 1 1 1 1 2
## imiss_o_2017 imiss_p_2017 imiss_q_2017 imiss_r_2017 imiss_s_2017
## 1 1 2 1 2 1
## 2 1 1 1 1 2
## 3 1 2 1 1 1
## 4 NA NA NA NA NA
## 5 1 1 1 1 1
## 6 2 4 1 2 NA
## imiss_t_2017 imiss_u_2017 imiss_x_2017 imiss_y_2017
## 1 2 3 1 1
## 2 1 1 3 4
## 3 3 1 2 2
## 4 NA NA NA NA
## 5 2 1 1 1
## 6 1 3 1 1
## immi_contribution_treat_2017 immi_contribution_a_2017
## 1 1 1
## 2 2 NA
## 3 2 NA
## 4 NA NA
## 5 2 NA
## 6 2 NA
## immi_contribution_b_2017 immi_naturalize_2017 immi_makedifficult_2017
## 1 NA 1 8
## 2 1 8 3
## 3 1 1 5
## 4 NA NA NA
## 5 1 2 4
## 6 1 1 2
## immi_muslim_2017 immigration_cap_2017 culture_pref_2017
## 1 4 1 2
## 2 2 2 2
## 3 4 2 2
## 4 NA NA NA
## 5 2 2 2
## 6 4 2 2
## contact_english_treat_2017 contact_english_a_2017 contact_english_b_2017
## 1 2 NA 4
## 2 1 2 NA
## 3 1 1 NA
## 4 NA NA NA
## 5 2 NA 4
## 6 1 4 NA
## immigrants_take_2017 immigrants_culture_2017 immigrants_security_2017
## 1 8 9 7
## 2 5 8 8
## 3 8 8 7
## 4 NA NA NA
## 5 8 8 5
## 6 10 10 10
## immigrants_crime_2017 immigrants_economy_2017 immigration_help_2017
## 1 7 7 1
## 2 7 10 1
## 3 8 8 1
## 4 NA NA NA
## 5 8 7 1
## 6 6 10 1
## univhealthcov_2017 healthreformbill_2017 aca_favor_2017 taxdoug_2017
## 1 1 1 4 1
## 2 2 3 2 2
## 3 1 1 4 1
## 4 NA NA NA NA
## 5 2 3 2 2
## 6 1 1 4 1
## govt_reg_2017 bank_regulation_2017 income_redistribution_2017
## 1 8 1 1
## 2 1 3 2
## 3 3 1 1
## 4 NA NA NA
## 5 1 3 2
## 6 3 1 1
## foregin_workers_2017 government_economic_ladder_2017
## 1 3 1
## 2 3 2
## 3 2 2
## 4 NA NA
## 5 3 2
## 6 3 1
## fed_improve_economy_2017 government_vs_private_2017
## 1 2 1
## 2 2 2
## 3 1 1
## 4 NA NA
## 5 2 2
## 6 1 1
## muslim_describe_economy_2017 muslim_describe_laws_2017
## 1 94 76
## 2 76 30
## 3 77 79
## 4 NA NA
## 5 76 67
## 6 100 51
## muslim_describe_terrorism_2017 muslim_describe_families_2017
## 1 13 95
## 2 32 79
## 3 6 90
## 4 NA NA
## 5 29 91
## 6 0 100
## muslim_describe_false_2017 muslim_describe_terrorism_symp_2
## 1 13 7
## 2 4 66
## 3 88 10
## 4 NA NA
## 5 26 26
## 6 0 1
## muslim_describe_religious_2017 muslim_describe_women_2017
## 1 67 75
## 2 99 79
## 3 51 100
## 4 NA NA
## 5 51 76
## 6 52 50
## muslim_describe_fit_in_2017 muslim_describe_gays_2017
## 1 85 51
## 2 36 51
## 3 76 78
## 4 NA NA
## 5 29 91
## 6 100 50
## muslim_distrust_mosque_2017 muslim_distrust_airpot_2017
## 1 4 4
## 2 2 2
## 3 3 3
## 4 NA NA
## 5 1 1
## 6 4 3
## muslim_distrust_vote_2017 tradepolicy_2017 egalitarian_opportunies_2017
## 1 4 1 1
## 2 4 1 5
## 3 4 1 1
## 4 NA NA NA
## 5 4 1 1
## 6 4 1 1
## egalitarian_worry_less_2017 egalitarian_no_big_deal_2017
## 1 5 5
## 2 1 1
## 3 4 4
## 4 NA NA
## 5 4 2
## 6 5 5
## egalitarian_fewer_problems_2017 promote_diversity_2017
## 1 1 1
## 2 5 2
## 3 1 1
## 4 NA NA
## 5 2 2
## 6 1 1
## expert_ordinary_2017 expert_facts_2017 expert_help_2017 expert_evil_2017
## 1 4 4 1 3
## 2 3 2 2 2
## 3 3 4 1 2
## 4 NA NA NA NA
## 5 2 2 2 2
## 6 2 4 1 3
## class_meaning_2017 class_honor_2017 class_open_doors_2017
## 1 4 3 4
## 2 3 1 1
## 3 3 1 3
## 4 NA NA NA
## 5 1 1 1
## 6 3 3 3
## class_manly_2017 class_loyal_2017 class_bold_2017 employment_status_2017
## 1 3 2 3 6
## 2 2 1 1 6
## 3 3 1 1 6
## 4 NA NA NA NA
## 5 1 1 1 1
## 6 5 3 5 6
## job_looking_2017 job_title_2017 job_title_t_2017 finance_worry_2017
## 1 NA NA __NA__ 3
## 2 NA NA __NA__ 2
## 3 NA NA __NA__ 2
## 4 NA NA NA
## 5 NA 11 __NA__ 2
## 6 NA NA __NA__ 4
## savings_2017 unexpected_2017 finance_event_lost_job_2017
## 1 1 2 2
## 2 2 3 3
## 3 1 2 3
## 4 NA NA NA
## 5 1 2 2
## 6 1 1 2
## finance_event_spouse_job_2017 finance_event_rent_2017
## 1 3 2
## 2 2 2
## 3 3 3
## 4 NA NA
## 5 2 2
## 6 2 2
## finance_event_loan_2017 finance_event_car_2017 finance_event_credit_2017
## 1 3 3 2
## 2 3 2 2
## 3 3 3 2
## 4 NA NA NA
## 5 2 2 2
## 6 2 2 2
## finance_event_income_2017 satisfaction_job_2017 satisfaction_incmoe_2017
## 1 2 3 2
## 2 1 1 2
## 3 2 1 3
## 4 NA NA NA
## 5 2 1 3
## 6 2 3 2
## satisfaction_savings_2017 satisfaction_debt_2017
## 1 2 2
## 2 3 4
## 3 2 2
## 4 NA NA
## 5 3 2
## 6 1 1
## satisfaction_healthcare_2017 satisfaction_live_2017
## 1 1 1
## 2 2 1
## 3 4 1
## 4 NA NA
## 5 2 1
## 6 2 1
## satisfaction_neighborhood_2017 satisfaction_localeconomy_2017
## 1 1 2
## 2 1 1
## 3 1 2
## 4 NA NA
## 5 2 2
## 6 1 1
## satisfaction_family_2017 community_issue_alcohol_2017
## 1 1 2
## 2 1 2
## 3 2 2
## 4 NA NA
## 5 1 2
## 6 1 3
## community_issue_drug_2017 community_issue_poverty_2017
## 1 3 3
## 2 2 3
## 3 1 2
## 4 NA NA
## 5 1 1
## 6 2 3
## community_issue_jobs_2017 community_issue_crime_2017
## 1 2 2
## 2 3 3
## 3 2 2
## 4 NA NA
## 5 2 2
## 6 2 2
## community_issue_schools_2017 community_econ_health_2017
## 1 3 4
## 2 3 1
## 3 2 2
## 4 NA NA
## 5 1 2
## 6 3 2
## community_quality_life_2017 race_2017 race_fate_2017
## 1 2 3 3
## 2 1 1 3
## 3 2 1 1
## 4 NA NA NA
## 5 1 1 2
## 6 2 1 3
## race_importance_2017 educ_2017 marstat_2017 child18_2017 faminc_new_2017
## 1 5 5 4 2 5
## 2 3 4 1 2 7
## 3 2 2 5 2 6
## 4 NA NA NA NA NA
## 5 2 5 1 2 7
## 6 4 4 1 2 5
## pid3_2017 pid7_2017 ideo5_2017 newsint_2017 pew_bornagain_2017
## 1 1 2 3 1 2
## 2 2 7 4 1 2
## 3 3 4 3 1 2
## 4 NA NA NA NA NA
## 5 2 7 4 1 2
## 6 1 1 1 1 2
## pew_religimp_2017 pew_churatd_2017 pew_prayer_2017 religpew_2017
## 1 2 5 5 2
## 2 1 1 1 3
## 3 4 5 7 2
## 4 NA NA NA NA
## 5 1 2 3 3
## 6 4 6 7 11
## weight_2016 PARTY_AGENDAS_rand_2016 pp_primary16_2016 pp_demprim16_2016
## 1 0.3582134 2 1 1
## 2 0.5628674 2 2 NA
## 3 0.5521375 2 1 1
## 4 0.2075908 1 1 3
## 5 0.3337291 2 2 NA
## 6 0.2071856 1 1 1
## pp_repprim16_2016 inputstate_2016 izip_2016 votereg2_2016 votereg_f_2016
## 1 NA 6 94952 1 1
## 2 1 4 85298 1 1
## 3 NA 55 54904 1 1
## 4 NA 40 74104 1 1
## 5 4 48 78253 1 1
## 6 NA 6 94954 1 1
## regzip_2016 turnout16_2016 vote_usual_2016 votemeth16_2016
## 1 NA 1 NA 3
## 2 NA 1 NA 2
## 3 NA 1 NA 2
## 4 NA 1 NA 1
## 5 NA 1 NA 2
## 6 NA 1 NA 3
## presvote16post_2016 presvote16post_t_2016 vote2016_cand2_2016
## 1 1 __NA__ NA
## 2 2 __NA__ NA
## 3 1 __NA__ NA
## 4 3 __NA__ NA
## 5 2 __NA__ NA
## 6 1 __NA__ NA
## vote_for_against_2016 Clinton_Rubio_2016 Clinton_Cruz_2016
## 1 1 1 1
## 2 1 2 2
## 3 1 1 1
## 4 NA 2 3
## 5 2 2 2
## 6 1 1 1
## Sanders_Trump_2016 Sanders_Rubio_2016 wished_voted_2016
## 1 1 1 NA
## 2 2 2 NA
## 3 1 1 NA
## 4 1 1 NA
## 5 2 2 NA
## 6 1 1 NA
## vote_regrets_2016 second_chance_2016 second_chance_t_2016
## 1 2 NA __NA__
## 2 2 NA __NA__
## 3 2 NA __NA__
## 4 2 NA __NA__
## 5 2 NA __NA__
## 6 2 NA __NA__
## accurately_counted_2016 accurately_counted2_2016 obamaapp_2016
## 1 1 3 1
## 2 1 1 4
## 3 3 3 1
## 4 2 2 1
## 5 1 1 4
## 6 1 3 1
## fav_trump_2016 fav_cruz_2016 fav_ryan_2016 fav_romn_2016 fav_obama_2016
## 1 4 4 3 3 1
## 2 1 1 1 1 4
## 3 4 4 4 4 1
## 4 4 4 4 3 1
## 5 2 3 2 1 3
## 6 4 4 4 3 1
## fav_hrc_2016 fav_sanders_2016 fav_rubio_2016 PARTY_AGENDAS_D1_2016
## 1 1 1 3 NA
## 2 4 4 1 NA
## 3 1 2 4 NA
## 4 4 3 3 2
## 5 4 3 1 NA
## 6 1 1 4 1
## PARTY_AGENDAS_D2_2016 PARTY_AGENDAS_D3_2016 PARTY_AGENDAS_D4_2016
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 3 2 3
## 5 NA NA NA
## 6 4 3 4
## PARTY_AGENDAS_D5_2016 PARTY_AGENDAS_D6_2016 PARTY_AGENDAS_D7_2016
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 4 3 4
## 5 NA NA NA
## 6 4 5 5
## PARTY_AGENDAS_D8_2016 PARTY_AGENDAS_D9_2016 PARTY_AGENDAS_D10_2016
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 3 3 3
## 5 NA NA NA
## 6 2 3 5
## PARTY_AGENDAS_D11_2016 PARTY_AGENDAS_D12_2016 PARTY_AGENDAS_R1_2016
## 1 NA NA 3
## 2 NA NA 5
## 3 NA NA 3
## 4 3 3 NA
## 5 NA NA 4
## 6 3 1 NA
## PARTY_AGENDAS_R2_2016 PARTY_AGENDAS_R3_2016 PARTY_AGENDAS_R4_2016
## 1 4 1 4
## 2 5 5 5
## 3 4 2 1
## 4 NA NA NA
## 5 4 3 5
## 6 NA NA NA
## PARTY_AGENDAS_R5_2016 PARTY_AGENDAS_R6_2016 PARTY_AGENDAS_R7_2016
## 1 3 5 5
## 2 4 1 3
## 3 5 5 5
## 4 NA NA NA
## 5 5 1 5
## 6 NA NA NA
## PARTY_AGENDAS_R8_2016 PARTY_AGENDAS_R9_2016 PARTY_AGENDAS_R10_2016
## 1 1 3 5
## 2 3 5 2
## 3 2 4 3
## 4 NA NA NA
## 5 4 5 5
## 6 NA NA NA
## PARTY_AGENDAS_R11_2016 PARTY_AGENDAS_R12_2016 RIGGED_SYSTEM_1_2016
## 1 3 5 3
## 2 5 5 2
## 3 3 4 2
## 4 NA NA 1
## 5 5 4 3
## 6 NA NA 3
## RIGGED_SYSTEM_2_2016 RIGGED_SYSTEM_3_2016 RIGGED_SYSTEM_4_2016
## 1 4 1 4
## 2 1 3 1
## 3 4 1 4
## 4 4 1 4
## 5 1 3 1
## 6 3 2 2
## RIGGED_SYSTEM_5_2016 RIGGED_SYSTEM_6_2016 track_2016 persfinretro_2016
## 1 3 2 2 2
## 2 3 2 2 3
## 3 1 1 1 3
## 4 2 1 1 1
## 5 3 2 2 2
## 6 2 3 2 2
## econtrend_2016 Americatrend_2016 futuretrend_2016 wealth_2016
## 1 1 1 4 2
## 2 3 1 1 1
## 3 3 1 1 2
## 4 1 3 3 2
## 5 2 3 4 1
## 6 2 1 3 2
## values_culture_2016 US_respect_2016 trustgovt_2016 trust_people_2016
## 1 2 2 3 8
## 2 3 3 3 2
## 3 3 1 3 1
## 4 3 1 3 1
## 5 3 2 3 1
## 6 2 2 2 2
## helpful_people_2016 fair_people_2016 ft_black_2016 ft_white_2016
## 1 1 8 95 94
## 2 1 2 97 99
## 3 2 1 77 83
## 4 1 1 99 51
## 5 1 1 91 75
## 6 1 2 100 97
## ft_hisp_2016 ft_asian_2016 ft_muslim_2016 ft_jew_2016 ft_christ_2016
## 1 90 90 89 94 50
## 2 100 100 75 97 100
## 3 77 90 51 75 50
## 4 100 99 50 99 40
## 5 90 93 65 95 91
## 6 98 98 99 100 26
## ft_fem_2016 ft_immig_2016 ft_blm_2016 ft_wallst_2016 ft_gays_2016
## 1 100 89 79 21 99
## 2 52 97 29 75 84
## 3 69 75 89 25 50
## 4 50 89 40 30 80
## 5 36 90 2 30 70
## 6 100 100 100 NA 100
## ft_unions_2016 ft_police_2016 ft_altright_2016 imiss_a_2016 imiss_b_2016
## 1 78 89 2 2 2
## 2 48 97 51 1 1
## 3 99 94 0 1 1
## 4 99 99 11 1 2
## 5 30 96 1 1 1
## 6 100 52 NA 2 1
## imiss_c_2016 imiss_d_2016 imiss_e_2016 imiss_f_2016 imiss_g_2016
## 1 1 1 1 2 1
## 2 2 2 1 1 4
## 3 2 1 3 1 3
## 4 3 1 1 2 3
## 5 1 1 1 1 3
## 6 2 1 3 2 1
## imiss_h_2016 imiss_i_2016 imiss_j_2016 imiss_k_2016 imiss_l_2016
## 1 1 2 1 1 1
## 2 2 2 1 2 4
## 3 2 4 1 1 1
## 4 2 4 1 1 2
## 5 1 2 1 2 4
## 6 1 1 1 1 1
## imiss_m_2016 imiss_n_2016 imiss_o_2016 imiss_p_2016 imiss_q_2016
## 1 1 1 2 2 1
## 2 2 2 1 1 1
## 3 1 1 1 2 1
## 4 2 1 1 3 2
## 5 1 1 1 1 2
## 6 1 1 2 3 1
## imiss_r_2016 imiss_s_2016 imiss_t_2016 imiss_u_2016 imiss_x_2016
## 1 2 1 1 2 1
## 2 1 2 1 2 3
## 3 1 1 3 2 1
## 4 2 2 3 2 2
## 5 1 2 1 1 1
## 6 2 1 1 3 1
## imiss_y_2016 immi_contribution_2016 immi_naturalize_2016
## 1 1 1 1
## 2 4 2 8
## 3 2 1 1
## 4 3 1 1
## 5 1 3 2
## 6 1 1 1
## immi_makedifficult_2016 immi_muslim_2016 abortview3_2016 gaymar_2016
## 1 2 4 1 1
## 2 3 8 2 2
## 3 4 3 1 1
## 4 1 4 2 1
## 5 5 8 2 8
## 6 3 4 1 1
## view_transgender_2016 deathpen_2016 deathpenfreq_2016 police_threat_2016
## 1 1 2 1 8
## 2 2 1 3 1
## 3 1 1 3 1
## 4 1 2 1 2
## 5 2 1 3 1
## 6 1 8 1 2
## conviction_accuracy_2016 univhealthcov_2016 healthreformbill_2016
## 1 1 1 1
## 2 1 2 3
## 3 1 1 1
## 4 8 1 1
## 5 2 2 3
## 6 1 1 1
## envwarm_2016 envpoll2_2016 affirmact_gen_2016 taxdoug_2016 govt_reg_2016
## 1 1 1 1 1 3
## 2 4 NA 2 2 1
## 3 1 1 1 1 3
## 4 2 1 2 1 3
## 5 2 2 2 2 1
## 6 1 1 1 1 3
## gvmt_involment_2016 tradepolicy_2016 free_trade_1_2016 free_trade_2_2016
## 1 1 1 3 3
## 2 2 1 2 2
## 3 1 1 2 3
## 4 1 1 NA 2
## 5 2 1 3 3
## 6 1 1 3 3
## free_trade_3_2016 free_trade_4_2016 free_trade_5_2016 amcitizen_2016
## 1 1 3 1 1
## 2 1 3 2 1
## 3 2 1 3 1
## 4 2 2 1 1
## 5 3 3 3 1
## 6 1 1 1 3
## amshamed_2016 belikeus_2016 prouddem_2016 proudhis_2016 proudgrp_2016
## 1 2 3 2 3 3
## 2 2 2 2 2 2
## 3 2 1 1 1 2
## 4 2 3 1 1 2
## 5 2 2 1 2 1
## 6 1 3 2 2 3
## ambornin_2016 amcit_2016 amlived_2016 amenglish_2016 amchrstn_2016
## 1 3 1 8 2 4
## 2 4 1 4 1 2
## 3 3 1 1 1 4
## 4 4 2 4 1 4
## 5 2 1 3 1 2
## 6 2 2 3 2 4
## amgovt_2016 amwhite_2016 amdiverse_2016 sexism1_2016 sexism2_2016
## 1 1 4 1 4 4
## 2 1 4 1 2 1
## 3 1 3 1 4 3
## 4 3 4 1 4 2
## 5 1 3 1 4 2
## 6 1 4 1 4 4
## sexism3_2016 sexism4_2016 sexism5_2016 sexism6_2016 gender_equality_2016
## 1 1 4 4 1 8
## 2 2 2 3 2 1
## 3 1 3 4 1 1
## 4 3 3 3 3 3
## 5 3 3 3 2 3
## 6 1 4 4 2 1
## race_deservemore_2016 race_overcome_2016 race_tryharder_2016
## 1 2 4 4
## 2 3 1 2
## 3 3 2 1
## 4 2 3 4
## 5 8 2 8
## 6 1 4 4
## race_slave_2016 policies_favor_2016 reverse_discrimination_2016
## 1 2 3 4
## 2 4 3 2
## 3 4 3 3
## 4 2 1 3
## 5 4 8 2
## 6 1 3 4
## inc_opp_blacks_2016 race_majority_1_2016 race_majority_2_2016
## 1 3 1 1
## 2 2 1 1
## 3 2 2 2
## 4 1 2 3
## 5 1 2 1
## 6 2 1 1
## race_majority_3_2016 race_majority_4_2016 SOCIAL_CONFORMITY_1_2016
## 1 4 4 2
## 2 1 3 2
## 3 3 3 NA
## 4 3 1 2
## 5 2 3 2
## 6 3 3 1
## SOCIAL_CONFORMITY_2_2016 SOCIAL_CONFORMITY_3_2016
## 1 1 2
## 2 2 2
## 3 2 NA
## 4 2 1
## 5 1 1
## 6 1 2
## SOCIAL_CONFORMITY_4_2016 CIVIC_PARTICIPATION_2016
## 1 1 3
## 2 1 5
## 3 2 6
## 4 2 5
## 5 1 4
## 6 1 6
## POLITICAL_CORRECTNESS_2016 race_2016 race_other_2016 race_fate_2016
## 1 2 1 __NA__ 3
## 2 2 1 __NA__ 3
## 3 1 1 __NA__ 2
## 4 2 1 __NA__ 2
## 5 2 1 __NA__ 2
## 6 1 1 __NA__ 3
## race_importance_2016 labunmemb_2016 milstat_1_2016 milstat_2_2016
## 1 5 3 2 2
## 2 2 3 2 2
## 3 2 3 2 2
## 4 5 3 2 2
## 5 3 3 2 2
## 6 4 3 2 2
## milstat_3_2016 milstat_4_2016 milstat_5_2016 gunown_2016 smoke100_2016
## 1 2 1 2 3 1
## 2 2 1 2 1 2
## 3 1 2 2 1 2
## 4 1 1 2 3 2
## 5 1 2 2 3 1
## 6 2 1 2 2 2
## smokenow_2016 healthdk_0_2016 healthcov2_2016 healthcov_t_2016
## 1 3 1 2 __NA__
## 2 NA 1 1 __NA__
## 3 NA 1 2 __NA__
## 4 NA 1 1 __NA__
## 5 3 1 3 Military Tricare
## 6 NA 1 2 __NA__
## alcohol_2016 painkillers_2016 drugs_2016 victim_12mo_2016 educ_2016
## 1 2 2 2 4 5
## 2 1 1 1 4 3
## 3 2 2 2 2 2
## 4 2 2 2 3 3
## 5 1 2 2 3 5
## 6 1 1 1 8 4
## marstat_2016 child18_2016 employ_2016 employ_t_2016 faminc_2016
## 1 4 2 5 __NA__ 97
## 2 1 2 6 __NA__ 7
## 3 5 2 5 __NA__ 6
## 4 3 2 1 __NA__ 8
## 5 1 2 1 __NA__ 5
## 6 1 2 5 __NA__ 4
## pid3_2016 pid3_t_2016 pid7_2016 ideo5_2016 newsint_2016
## 1 1 __NA__ 2 3 1
## 2 2 __NA__ 7 4 1
## 3 3 __NA__ 3 3 1
## 4 3 __NA__ 3 3 1
## 5 2 __NA__ 7 4 1
## 6 1 __NA__ 1 1 1
## pew_bornagain_2016 pew_religimp_2016 pew_churatd_2016 pew_prayer_2016
## 1 2 3 5 6
## 2 2 1 1 1
## 3 2 4 5 3
## 4 2 3 5 3
## 5 2 1 1 2
## 6 2 4 6 7
## religpew_2016 religpew_t_2016 votemeth16_rnd_2016
## 1 2 __NA__ __NA__
## 2 3 __NA__ __NA__
## 3 2 __NA__ __NA__
## 4 11 __NA__ __NA__
## 5 3 __NA__ __NA__
## 6 11 __NA__ __NA__
## presvote16post_rnd_2016 vote2016_cand2_rnd_2016 Clinton_Rubio_rnd_2016
## 1 __NA__ __NA__ reverse(1, [1,0])
## 2 __NA__ __NA__ reverse(0, [0,1])
## 3 __NA__ __NA__ reverse(1, [1,0])
## 4 __NA__ __NA__ reverse(0, [0,1])
## 5 __NA__ __NA__ reverse(1, [1,0])
## 6 __NA__ __NA__ reverse(0, [0,1])
## Clinton_Cruz_rnd_2016 Sanders_Trump_rnd_2016 Sanders_Rubio_rnd_2016
## 1 reverse(1, [1,0]) reverse(1, [1,0]) reverse(1, [1,0])
## 2 reverse(0, [0,1]) reverse(0, [0,1]) reverse(0, [0,1])
## 3 reverse(1, [1,0]) reverse(1, [1,0]) reverse(1, [1,0])
## 4 reverse(0, [0,1]) reverse(0, [0,1]) reverse(0, [0,1])
## 5 reverse(1, [1,0]) reverse(1, [1,0]) reverse(1, [1,0])
## 6 reverse(0, [0,1]) reverse(0, [0,1]) reverse(0, [0,1])
## second_chance_rnd_2016 obamaapp_rnd_2016
## 1 __NA__ reverse(1, [3,2,1,0])
## 2 __NA__ reverse(1, [3,2,1,0])
## 3 __NA__ reverse(0, [0,1,2,3])
## 4 __NA__ reverse(1, [3,2,1,0])
## 5 __NA__ reverse(1, [3,2,1,0])
## 6 __NA__ reverse(1, [3,2,1,0])
## fav_grid_row_rnd_2016 fav_grid_col_rnd_2016
## 1 randomize(27327, [5,4,7,2,6,1,3,0]) reverse(1, [3,2,1,0])
## 2 randomize(80, [0,4,3,1,2,5,6,7]) reverse(1, [3,2,1,0])
## 3 randomize(29951, [6,0,7,2,1,4,3,5]) reverse(0, [0,1,2,3])
## 4 randomize(19121, [2,6,5,4,7,1,3,0]) reverse(1, [3,2,1,0])
## 5 randomize(20234, [0,4,1,7,2,5,6,3]) reverse(1, [3,2,1,0])
## 6 randomize(11119, [1,4,3,5,0,7,2,6]) reverse(1, [3,2,1,0])
## PARTY_AGENDAS_D_grid_row_rnd_201
## 1 __NA__
## 2 __NA__
## 3 __NA__
## 4 randomize(171666623, [5,6,1,7,4,3,9,11,8,0,2,10])
## 5 __NA__
## 6 randomize(111953906, [0,9,10,4,8,1,6,5,3,11,7,2])
## PARTY_AGENDAS_R_grid_row_rnd_201
## 1 randomize(299084849, [2,7,5,0,11,10,1,8,4,6,9,3])
## 2 randomize(409649629, [7,11,6,0,1,3,2,4,10,8,5,9])
## 3 randomize(201571018, [2,5,4,0,9,7,11,6,3,8,10,1])
## 4 __NA__
## 5 randomize(420307324, [2,11,0,3,6,10,8,4,5,1,7,9])
## 6 __NA__
## RIGGED_SYSTEM_grid_row_rnd_2016 track_rnd_2016 persfinretro_rnd_2016
## 1 randomize(508, [2,5,0,4,3,1]) reverse(1, [1,0]) reverse(1, [2,0])
## 2 randomize(20, [3,2,1,0,4,5]) reverse(0, [0,1]) reverse(0, [0,2])
## 3 randomize(471, [4,3,5,2,1,0]) reverse(1, [1,0]) reverse(1, [2,0])
## 4 randomize(85, [1,4,2,0,3,5]) reverse(1, [1,0]) reverse(1, [2,0])
## 5 randomize(705, [5,2,3,0,1,4]) reverse(0, [0,1]) reverse(0, [0,2])
## 6 randomize(164, [3,2,1,4,5,0]) reverse(0, [0,1]) reverse(0, [0,2])
## econtrend_rnd_2016 Americatrend_rnd_2016 futuretrend_rnd_2016
## 1 reverse(1, [2,0]) reverse(1, [2,0]) reverse(1, [2,0])
## 2 reverse(0, [0,2]) reverse(0, [0,2]) reverse(0, [0,2])
## 3 reverse(1, [2,0]) reverse(1, [2,0]) reverse(1, [2,0])
## 4 reverse(1, [2,0]) reverse(1, [2,0]) reverse(1, [2,0])
## 5 reverse(0, [0,2]) reverse(0, [0,2]) reverse(0, [0,2])
## 6 reverse(0, [0,2]) reverse(0, [0,2]) reverse(0, [0,2])
## wealth_rnd_2016 values_culture_rnd_2016 US_respect_rnd_2016
## 1 reverse(1, [1,0]) reverse(0, [0,1,2]) reverse(0, [0,2])
## 2 reverse(0, [0,1]) reverse(1, [2,1,0]) reverse(0, [0,2])
## 3 reverse(1, [1,0]) reverse(1, [2,1,0]) reverse(1, [2,0])
## 4 reverse(1, [1,0]) reverse(1, [2,1,0]) reverse(1, [2,0])
## 5 reverse(0, [0,1]) reverse(1, [2,1,0]) reverse(0, [0,2])
## 6 reverse(1, [1,0]) reverse(0, [0,1,2]) reverse(1, [2,0])
## trust_people_rnd_2016 helpful_people_rnd_2016 fair_people_rnd_2016
## 1 reverse(0, [0,1]) reverse(1, [1,0]) reverse(0, [0,1])
## 2 reverse(1, [1,0]) reverse(1, [1,0]) reverse(0, [0,1])
## 3 reverse(0, [0,1]) reverse(0, [0,1]) reverse(1, [1,0])
## 4 reverse(1, [1,0]) reverse(0, [0,1]) reverse(0, [0,1])
## 5 reverse(1, [1,0]) reverse(0, [0,1]) reverse(1, [1,0])
## 6 reverse(1, [1,0]) reverse(1, [1,0]) reverse(0, [0,1])
## t1_grid_row_rnd_2016
## 1 randomize(120113210084, [9,8,11,4,0,7,6,3,13,12,10,1,5,14,2])
## 2 randomize(355278854180, [3,2,1,11,4,10,9,0,5,8,14,7,13,12,6])
## 3 randomize(1117654743898, [2,8,14,9,10,0,12,6,11,5,3,1,4,7,13])
## 4 randomize(402659440223, [3,0,5,2,12,13,6,1,9,4,14,8,11,10,7])
## 5 randomize(493430789459, [8,7,4,1,13,10,3,9,5,14,11,2,0,6,12])
## 6 randomize(1239482352700, [14,7,5,10,11,6,0,1,9,8,13,2,12,3,4])
## imiss_row_rnd_2016
## 1 randomize(1826312573888154007586, [7,8,14,4,16,20,19,0,21,5,18,12,10,13,9,2,3,15,11,1,6,22,17])
## 2 randomize(1272299552368081230432, [19,8,20,16,15,1,12,5,6,13,14,10,4,11,3,7,18,9,17,21,2,22,0])
## 3 randomize(7611805231108026090267, [20,5,18,4,14,21,19,2,0,6,7,12,10,8,3,13,22,15,9,17,1,11,16])
## 4 randomize(20783110061102022352439, [17,0,1,5,22,2,13,16,4,19,15,21,18,9,12,7,11,8,10,14,6,3,20])
## 5 randomize(18467535318159265293698, [6,10,18,12,13,19,22,17,9,15,2,20,21,14,16,11,0,3,1,5,4,7,8])
## 6 randomize(11278138407456776123679, [1,13,0,17,15,20,19,7,10,6,18,4,22,12,3,8,16,11,5,9,2,21,14])
## imiss_col_rnd_2016 immi_contribution_rnd_2016
## 1 reverse(0, [0,1,2,3]) reverse(0, [0,2])
## 2 reverse(1, [3,2,1,0]) reverse(0, [0,2])
## 3 reverse(1, [3,2,1,0]) reverse(0, [0,2])
## 4 reverse(0, [0,1,2,3]) reverse(1, [2,0])
## 5 reverse(1, [3,2,1,0]) reverse(0, [0,2])
## 6 reverse(0, [0,1,2,3]) reverse(1, [2,0])
## immi_naturalize_rnd_2016 immi_makedifficult_rnd_2016
## 1 reverse(1, [1,0]) reverse(1, [4,3,2,1,0])
## 2 reverse(1, [1,0]) reverse(0, [0,1,2,3,4])
## 3 reverse(0, [0,1]) reverse(1, [4,3,2,1,0])
## 4 reverse(1, [1,0]) reverse(0, [0,1,2,3,4])
## 5 reverse(1, [1,0]) reverse(1, [4,3,2,1,0])
## 6 reverse(1, [1,0]) reverse(1, [4,3,2,1,0])
## immi_muslim_rnd_2016 abortview3_rnd_2016 gaymar_rnd_2016
## 1 reverse(1, [3,2,1,0]) reverse(0, [0,1,2]) reverse(1, [1,0])
## 2 reverse(1, [3,2,1,0]) reverse(1, [2,1,0]) reverse(1, [1,0])
## 3 reverse(0, [0,1,2,3]) reverse(0, [0,1,2]) reverse(0, [0,1])
## 4 reverse(1, [3,2,1,0]) reverse(1, [2,1,0]) reverse(1, [1,0])
## 5 reverse(1, [3,2,1,0]) reverse(1, [2,1,0]) reverse(1, [1,0])
## 6 reverse(1, [3,2,1,0]) reverse(0, [0,1,2]) reverse(1, [1,0])
## view_transgender_rnd_2016 deathpen_rnd_2016 police_threat_rnd_2016
## 1 reverse(0, [0,1]) reverse(1, [1,0]) reverse(1, [1,0])
## 2 reverse(0, [0,1]) reverse(1, [1,0]) reverse(1, [1,0])
## 3 reverse(0, [0,1]) reverse(0, [0,1]) reverse(0, [0,1])
## 4 reverse(0, [0,1]) reverse(1, [1,0]) reverse(0, [0,1])
## 5 reverse(0, [0,1]) reverse(1, [1,0]) reverse(1, [1,0])
## 6 reverse(1, [1,0]) reverse(1, [1,0]) reverse(0, [0,1])
## conviction_accuracy_rnd_2016 healthreformbill_rnd_2016
## 1 reverse(1, [1,0]) reverse(1, [2,1,0])
## 2 reverse(1, [1,0]) reverse(1, [2,1,0])
## 3 reverse(0, [0,1]) reverse(1, [2,1,0])
## 4 reverse(1, [1,0]) reverse(1, [2,1,0])
## 5 reverse(1, [1,0]) reverse(1, [2,1,0])
## 6 reverse(0, [0,1]) reverse(1, [2,1,0])
## envwarm_rnd_2016 envpoll2_rnd_2016 affirmact_gen_rnd_2016
## 1 reverse(0, [0,1,2,3]) reverse(1, [1,0]) reverse(1, [1,0])
## 2 reverse(0, [0,1,2,3]) __NA__ reverse(1, [1,0])
## 3 reverse(1, [3,2,1,0]) reverse(1, [1,0]) reverse(0, [0,1])
## 4 reverse(1, [3,2,1,0]) reverse(0, [0,1]) reverse(1, [1,0])
## 5 reverse(0, [0,1,2,3]) reverse(1, [1,0]) reverse(1, [1,0])
## 6 reverse(0, [0,1,2,3]) reverse(1, [1,0]) reverse(1, [1,0])
## taxdoug_rnd_2016 gvmt_involment_rnd_2016 tradepolicy_rnd_2016
## 1 reverse(0, [0,1]) reverse(1, [1,0]) reverse(1, [1,0])
## 2 reverse(1, [1,0]) reverse(1, [1,0]) reverse(1, [1,0])
## 3 reverse(1, [1,0]) reverse(1, [1,0]) reverse(0, [0,1])
## 4 reverse(1, [1,0]) reverse(1, [1,0]) reverse(1, [1,0])
## 5 reverse(0, [0,1]) reverse(1, [1,0]) reverse(1, [1,0])
## 6 reverse(1, [1,0]) reverse(0, [0,1]) reverse(1, [1,0])
## free_trade_grid_row_rnd_2016 agree_grid_row_rnd_2016
## 1 randomize(44, [3,2,1,4,0]) randomize(4, [2,1,0])
## 2 randomize(34, [2,1,3,4,0]) randomize(4, [2,1,0])
## 3 randomize(99, [4,2,0,3,1]) randomize(1, [1,0,2])
## 4 randomize(92, [3,4,1,0,2]) randomize(0, [0,1,2])
## 5 randomize(42, [3,1,2,4,0]) randomize(2, [0,2,1])
## 6 randomize(79, [1,4,3,2,0]) randomize(4, [2,1,0])
## proud_grid_row_rnd_2016 CONCEPTIONS_grid_row_rnd_2016
## 1 randomize(0, [0,1,2]) randomize(34872, [6,7,2,5,1,3,0,4])
## 2 randomize(1, [1,0,2]) randomize(39343, [7,6,5,2,1,3,0,4])
## 3 randomize(0, [0,1,2]) randomize(31691, [2,7,3,1,6,5,4,0])
## 4 randomize(3, [1,2,0]) randomize(20669, [2,5,1,7,3,0,6,4])
## 5 randomize(2, [0,2,1]) randomize(35589, [7,2,4,5,0,1,6,3])
## 6 randomize(2, [0,2,1]) randomize(23266, [4,1,6,7,5,2,3,0])
## sexism_grid_row_rnd_2016 gender_equality_rnd_2016
## 1 randomize(73, [1,4,2,3,0,5]) reverse(0, [0,2])
## 2 randomize(511, [1,5,3,4,2,0]) reverse(0, [0,2])
## 3 randomize(518, [0,5,1,4,2,3]) reverse(0, [0,2])
## 4 randomize(107, [4,0,3,1,2,5]) reverse(1, [2,0])
## 5 randomize(560, [0,5,3,1,2,4]) reverse(0, [0,2])
## 6 randomize(517, [1,5,2,4,0,3]) reverse(0, [0,2])
## racialresent_grid_row_rnd_2016 race_majority_row_rnd_2016
## 1 randomize(14, [0,3,1,2]) randomize(19, [3,0,2,1])
## 2 randomize(2, [0,2,1,3]) randomize(10, [2,1,3,0])
## 3 randomize(8, [0,2,3,1]) randomize(9, [1,2,3,0])
## 4 randomize(5, [2,0,1,3]) randomize(15, [1,3,0,2])
## 5 randomize(11, [2,0,3,1]) randomize(10, [2,1,3,0])
## 6 randomize(13, [1,3,2,0]) randomize(3, [1,2,0,3])
## m_SC_1_SC_4_rnd_2016 SOCIAL_CONFORMITY_1_grid_col_rnd
## 1 randomize(0, [0,1,2,3]) reverse(1, [1,0])
## 2 randomize(6, [0,1,3,2]) reverse(0, [0,1])
## 3 randomize(9, [1,2,3,0]) reverse(0, [0,1])
## 4 randomize(6, [0,1,3,2]) reverse(0, [0,1])
## 5 randomize(20, [3,2,1,0]) reverse(0, [0,1])
## 6 randomize(6, [0,1,3,2]) reverse(1, [1,0])
## SOCIAL_CONFORMITY_2_grid_col_rnd SOCIAL_CONFORMITY_3_grid_col_rnd
## 1 reverse(1, [1,0]) reverse(0, [0,1])
## 2 reverse(0, [0,1]) reverse(1, [1,0])
## 3 reverse(1, [1,0]) reverse(1, [1,0])
## 4 reverse(1, [1,0]) reverse(0, [0,1])
## 5 reverse(0, [0,1]) reverse(0, [0,1])
## 6 reverse(1, [1,0]) reverse(0, [0,1])
## SOCIAL_CONFORMITY_4_grid_col_rnd POLITICAL_CORRECTNESS_rnd_2016
## 1 reverse(1, [1,0]) reverse(0, [0,1])
## 2 reverse(1, [1,0]) reverse(0, [0,1])
## 3 reverse(0, [0,1]) reverse(1, [1,0])
## 4 reverse(1, [1,0]) reverse(0, [0,1])
## 5 reverse(0, [0,1]) reverse(1, [1,0])
## 6 reverse(0, [0,1]) reverse(1, [1,0])
## gunown_rnd_2016 newsint2_baseline track_baseline trustgovt_baseline
## 1 reverse(1, [2,1,0]) 1 1 3
## 2 reverse(0, [0,1,2]) 1 2 3
## 3 reverse(1, [2,1,0]) 1 1 2
## 4 reverse(0, [0,1,2]) 1 1 2
## 5 reverse(0, [0,1,2]) 1 2 3
## 6 reverse(0, [0,1,2]) 1 3 3
## persfinretro_baseline econtrend_baseline fatalism2_baseline
## 1 2 1 3
## 2 1 2 4
## 3 3 1 1
## 4 2 1 2
## 5 3 3 3
## 6 2 2 2
## obamaapp_baseline watchtv_baseline morn_show_1_baseline
## 1 2 3 2
## 2 4 4 2
## 3 2 3 2
## 4 1 4 2
## 5 4 2 1
## 6 1 4 2
## morn_show_2_baseline morn_show_3_baseline morn_show_4_baseline
## 1 2 2 2
## 2 2 2 2
## 3 2 2 2
## 4 2 2 2
## 5 2 2 2
## 6 2 2 2
## morn_show_5_baseline morn_show_6_baseline morn_show_99_baseline
## 1 2 1 2
## 2 2 2 1
## 3 2 1 2
## 4 2 1 2
## 5 1 2 2
## 6 2 2 1
## enews_show_1_baseline enews_show_2_baseline enews_show_3_baseline
## 1 2 2 1
## 2 1 1 1
## 3 1 2 2
## 4 2 2 2
## 5 1 2 2
## 6 2 2 2
## enews_show_4_baseline enews_show_5_baseline enews_show_6_baseline
## 1 2 1 2
## 2 1 1 2
## 3 2 2 2
## 4 2 1 1
## 5 1 2 2
## 6 2 2 1
## enews_show_7_baseline enews_show_99_baseline sundaytalkshow_1_baseline
## 1 2 2 1
## 2 1 2 2
## 3 2 2 2
## 4 1 2 1
## 5 2 2 2
## 6 1 2 2
## sundaytalkshow_2_baseline sundaytalkshow_3_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 1 1
## 5 2 2
## 6 2 2
## sundaytalkshow_4_baseline sundaytalkshow_5_baseline
## 1 2 2
## 2 2 2
## 3 2 1
## 4 1 1
## 5 2 2
## 6 1 1
## sundaytalkshow_99_baseline dailytalkshow_1_baseline
## 1 2 2
## 2 1 1
## 3 2 2
## 4 2 2
## 5 1 1
## 6 2 2
## dailytalkshow_2_baseline dailytalkshow_3_baseline
## 1 2 2
## 2 1 1
## 3 2 2
## 4 2 2
## 5 1 1
## 6 2 2
## dailytalkshow_4_baseline dailytalkshow_5_baseline
## 1 2 2
## 2 2 2
## 3 1 1
## 4 1 1
## 5 2 1
## 6 2 2
## dailytalkshow_6_baseline dailytalkshow_7_baseline
## 1 2 2
## 2 1 2
## 3 2 2
## 4 1 1
## 5 2 2
## 6 1 1
## dailytalkshow_8_baseline dailytalkshow_9_baseline
## 1 2 2
## 2 2 1
## 3 2 2
## 4 1 1
## 5 2 2
## 6 1 1
## dailytalkshow_99_baseline latetalk_1_baseline latetalk_2_baseline
## 1 1 2 2
## 2 2 2 2
## 3 2 2 2
## 4 2 2 2
## 5 2 2 1
## 6 2 2 2
## latetalk_3_baseline latetalk_4_baseline latetalk_5_baseline
## 1 2 2 1
## 2 2 2 2
## 3 2 2 2
## 4 2 2 2
## 5 2 1 2
## 6 2 2 1
## latetalk_6_baseline latetalk_7_baseline latetalk_8_baseline
## 1 1 1 2
## 2 2 2 2
## 3 1 1 2
## 4 2 2 2
## 5 2 1 2
## 6 1 1 2
## latetalk_9_baseline latetalk_10_baseline latetalk_99_baseline
## 1 2 2 2
## 2 1 1 2
## 3 2 2 2
## 4 2 2 2
## 5 2 2 2
## 6 2 2 2
## localeve_baseline localnewspaper_baseline ideo5_baseline
## 1 5 9 3
## 2 4 7 5
## 3 7 7 3
## 4 NA 9 3
## 5 7 3 4
## 6 7 5 1
## imiss_a_baseline imiss_b_baseline imiss_c_baseline imiss_d_baseline
## 1 4 1 2 2
## 2 1 1 1 4
## 3 4 1 4 3
## 4 3 1 1 2
## 5 1 1 1 2
## 6 1 1 2 1
## imiss_f_baseline imiss_g_baseline imiss_h_baseline imiss_j_baseline
## 1 2 1 1 1
## 2 1 2 3 1
## 3 2 4 2 1
## 4 2 2 3 1
## 5 1 3 1 1
## 6 2 1 1 1
## imiss_m_baseline imiss_p_baseline imiss_q_baseline imiss_r_baseline
## 1 1 1 1 1
## 2 2 1 1 1
## 3 1 2 3 1
## 4 2 1 2 1
## 5 2 1 1 2
## 6 1 3 1 2
## imiss_s_baseline imiss_t_baseline imissf_baseline imissf2_baseline
## 1 1 3 8 NA
## 2 1 1 2 NA
## 3 1 4 2 NA
## 4 2 4 2 NA
## 5 2 2 2 NA
## 6 1 1 4 NA
## immi_contribution_baseline immi_naturalize_baseline
## 1 1 1
## 2 3 3
## 3 1 1
## 4 1 1
## 5 3 3
## 6 1 1
## immi_makedifficult_baseline abortview3_baseline gaymar2_baseline
## 1 2 1 1
## 2 3 2 2
## 3 1 1 1
## 4 1 2 1
## 5 2 3 2
## 6 4 1 1
## deathpenalty_baseline deathpenfreq_baseline taxwealth_baseline
## 1 2 1 1
## 2 1 3 2
## 3 1 3 1
## 4 1 2 1
## 5 1 3 2
## 6 8 4 1
## univhealthcov_baseline healthtaxch3_baseline healthqualch3_baseline
## 1 1 2 2
## 2 2 1 3
## 3 1 3 1
## 4 1 3 2
## 5 2 1 3
## 6 1 3 1
## healthreformbill_baseline envwarm_baseline envser2_baseline
## 1 1 1 1
## 2 3 4 NA
## 3 1 1 1
## 4 1 1 2
## 5 3 4 NA
## 6 1 1 1
## envpoll2_baseline affirmact_gen_baseline tradepolicy_baseline
## 1 1 1 1
## 2 NA 2 1
## 3 1 1 1
## 4 1 1 1
## 5 NA 2 1
## 6 1 1 1
## govt_reg_baseline pid7_baseline pid3_t_baseline pid3_baseline
## 1 3 2 __NA__ 1
## 2 1 7 __NA__ 2
## 3 3 3 __NA__ 3
## 4 2 4 __NA__ 3
## 5 1 7 __NA__ 2
## 6 3 1 __NA__ 1
## pid7others_baseline vote_generic_baseline match_generic_t_baseline
## 1 NA 1
## 2 NA 2
## 3 NA 1
## 4 NA 1
## 5 NA 2
## 6 NA 1
## cong2012_2_baseline cong2012_2_t_baseline marstat_baseline
## 1 1 4
## 2 2 1
## 3 1 5
## 4 3 3
## 5 2 1
## 6 1 1
## PARTYID_SP_baseline polinterest_baseline pol_know_baseline
## 1 NA 1 1
## 2 1 1 1
## 3 NA 1 1
## 4 NA 1 1
## 5 1 1 1
## 6 2 1 1
## pk_ideo_baseline pk_house_baseline pk_senate_baseline pk_HMinL_baseline
## 1 2 2 1 1
## 2 2 2 1 2
## 3 2 2 1 1
## 4 8 2 1 1
## 5 2 2 1 1
## 6 2 2 1 1
## pk_Speaker_baseline pk_HMajL_baseline pk_SMinL_baseline pk_VP_baseline
## 1 1 1 2 4
## 2 2 1 2 4
## 3 2 1 2 4
## 4 1 1 2 4
## 5 1 1 2 4
## 6 1 1 2 4
## pk_SMajL_baseline pk_SCJ_baseline teapartymemb_baseline
## 1 2 5 2
## 2 2 5 1
## 3 2 5 2
## 4 2 5 2
## 5 2 5 3
## 6 2 5 2
## teapartsup_baseline selfdescr_ccap_1_baseline selfdescr_ccap_2_baseline
## 1 5 2 2
## 2 1 2 2
## 3 5 2 2
## 4 5 1 2
## 5 2 2 2
## 6 5 2 2
## selfdescr_ccap_3_baseline selfdescr_ccap_4_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 1 1
## selfdescr_ccap_5_baseline selfdescr_ccap_6_baseline
## 1 2 1
## 2 2 1
## 3 2 1
## 4 2 1
## 5 2 2
## 6 1 1
## selfdescr_ccap_7_baseline selfdescr_ccap_8_baseline
## 1 2 2
## 2 1 2
## 3 2 2
## 4 2 2
## 5 1 2
## 6 2 2
## selfdescr_ccap_9_baseline selfdescr_ccap_10_baseline
## 1 2 1
## 2 2 1
## 3 2 2
## 4 1 1
## 5 2 1
## 6 1 2
## selfdescr_ccap_11_baseline selfdescr_ccap_12_baseline
## 1 2 2
## 2 1 2
## 3 2 2
## 4 2 2
## 5 1 2
## 6 2 1
## selfdescr_ccap_13_baseline selfdescr_ccap_99_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## abortidentity_baseline race_deservemore_baseline race_overcome_baseline
## 1 2 2 4
## 2 1 5 1
## 3 4 2 4
## 4 3 2 2
## 5 1 2 4
## 6 2 2 4
## race_tryharder_baseline race_slave_baseline therm_baseline
## 1 5 2 1
## 2 2 5 1
## 3 4 2 1
## 4 5 2 1
## 5 2 4 1
## 6 5 2 1
## blacks_t_baseline whites_t_baseline asians_t_baseline latinos_t_baseline
## 1 60 59 65 61
## 2 100 89 98 100
## 3 91 100 96 100
## 4 100 100 100 100
## 5 62 88 62 79
## 6 100 87 91 72
## christians_t_baseline jews_t_baseline muslims_t_baseline
## 1 63 61 61
## 2 100 97 66
## 3 65 41 6
## 4 40 100 100
## 5 100 67 62
## 6 33 100 83
## mormons_t_baseline gays_t_baseline add_confirm_baseline
## 1 60 70 NA
## 2 99 92 1
## 3 21 99 1
## 4 100 96 1
## 5 97 59 1
## 6 81 100 1
## inputzip_baseline votereg_baseline regzip_baseline votereg_f_baseline
## 1 89052 1 NA 1
## 2 NA 1 NA 1
## 3 NA 1 NA 1
## 4 NA 1 NA 1
## 5 NA 1 NA 1
## 6 NA 1 NA 1
## regzip2_baseline votereg_fnd_baseline inputstate_baseline
## 1 NA NA 32
## 2 NA NA 4
## 3 NA NA 55
## 4 NA NA 40
## 5 NA NA 48
## 6 NA NA 6
## region_baseline urbancity_baseline urbancity_t_baseline
## 1 4 2
## 2 4 4
## 3 2 1
## 4 3 1
## 5 3 2
## 6 4 2
## ownorrent_baseline ownhome_t_baseline lengthres_baseline
## 1 1 5
## 2 2 6
## 3 1 7
## 4 1 7
## 5 1 6
## 6 1 7
## partyreg_baseline partyreg_t_baseline reliablevoter_baseline
## 1 NA __NA__ 1
## 2 2 1
## 3 NA __NA__ 1
## 4 4 1
## 5 NA __NA__ 1
## 6 1 1
## straighttic_baseline voted08_ccap_baseline presvote08_baseline
## 1 3 1 1
## 2 3 1 2
## 3 3 1 1
## 4 3 1 1
## 5 3 1 NA
## 6 1 1 1
## OTpresvote08_baseline vote10_baseline congvote10_ccap_baseline
## 1 1 1
## 2 __NA__ NA 2
## 3 1 1
## 4 1 1
## 5 1 2
## 6 1 1
## fav_romn_baseline fav_ging_baseline fav_hunt_baseline fav_bach_baseline
## 1 3 4 2 4
## 2 1 2 2 1
## 3 4 3 2 4
## 4 3 4 1 4
## 5 1 3 2 2
## 6 NA 4 2 4
## fav_ronp_baseline fav_sant_baseline fav_perr_baseline fav_obama_baseline
## 1 3 4 4 1
## 2 3 1 2 4
## 3 4 2 2 2
## 4 2 4 4 1
## 5 4 2 4 4
## 6 3 4 4 1
## fav_hrc_baseline fav_biden_baseline ideoobama_baseline
## 1 1 1 3
## 2 3 3 1
## 3 1 2 2
## 4 3 1 3
## 5 3 3 1
## 6 1 1 3
## saysobama_baseline likeobama_baseline ideonewt_baseline
## 1 1 1 4
## 2 2 2 3
## 3 1 1 5
## 4 1 1 4
## 5 2 2 3
## 6 1 1 5
## saysnewt_baseline likenewt_baseline ideoromney_baseline
## 1 2 3 4
## 2 1 2 4
## 3 1 3 3
## 4 1 3 3
## 5 2 3 4
## 6 2 3 4
## saysromney_baseline likeromney_baseline repchoice_baseline
## 1 2 8 1
## 2 1 1 2
## 3 2 3 1
## 4 2 3 1
## 5 1 1 1
## 6 2 8 1
## repnom_baseline repnom_t_baseline repnom_f_baseline repnom_f_t_baseline
## 1 13 __NA__ NA __NA__
## 2 2 __NA__ 9 __NA__
## 3 11 __NA__ NA __NA__
## 4 11 __NA__ NA __NA__
## 5 2 __NA__ 9 __NA__
## 6 11 __NA__ NA __NA__
## cmatch_romn_baseline cmatch_romn_t_baseline cmatch_romn_f_baseline
## 1 1 __NA__ NA
## 2 2 __NA__ NA
## 3 1 __NA__ NA
## 4 1 __NA__ NA
## 5 2 __NA__ NA
## 6 1 __NA__ NA
## cmatch_ging_baseline cmatch_ging_t_baseline cmatch_ging_f_baseline
## 1 1 __NA__ NA
## 2 2 __NA__ NA
## 3 1 __NA__ NA
## 4 1 __NA__ NA
## 5 2 __NA__ NA
## 6 1 __NA__ NA
## cmatch_paul_baseline cmatch_paul_t_baseline cmatch_paul_f_baseline
## 1 NA __NA__ NA
## 2 NA __NA__ NA
## 3 1 __NA__ NA
## 4 NA __NA__ NA
## 5 NA __NA__ NA
## 6 NA __NA__ NA
## org_membership_1_baseline org_membership_2_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## org_membership_3_baseline org_membership_4_baseline
## 1 1 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 1 2
## org_membership_5_baseline org_membership_6_baseline
## 1 1 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 1 2
## org_membership_7_baseline org_membership_8_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 1 2
## org_membership_9_baseline org_membership_10_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## org_membership_11_baseline org_membership_12_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## org_membership_13_baseline org_membership_14_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## org_membership_15_baseline org_membership_16_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 1 1
## org_membership_17_baseline org_membership_18_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## org_membership_19_baseline org_membership_20_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## org_membership_21_baseline volunteer_baseline volunteerf_baseline
## 1 2 1 NA
## 2 1 1 NA
## 3 1 2 2
## 4 1 1 NA
## 5 1 2 1
## 6 2 2 2
## volunteernum_baseline volunteerorg2_1_baseline volunteerorg2_2_baseline
## 1 1 2 2
## 2 1 1 1
## 3 NA 2 2
## 4 3 2 2
## 5 1 1 1
## 6 NA 2 2
## volunteerorg2_3_baseline volunteerorg2_4_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## volunteerorg2_5_baseline volunteerorg2_6_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 1 2
## 5 2 2
## 6 2 2
## volunteerorg2_7_baseline volunteerorg2_8_baseline
## 1 1 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## volunteerorg2_9_baseline volunteerorg2_10_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## volunteerorg2_11_baseline volunteerorg2_12_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## volunteerorg2_13_baseline volunteerorg2_14_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## volunteerorg2_15_baseline volunteerorg2_16_baseline
## 1 2 2
## 2 2 2
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## volunteerorg2_17_baseline polcontr_t_baseline polcontr_1_baseline
## 1 2 __NA__ 1
## 2 2 __NA__ 2
## 3 2 __NA__ 2
## 4 1 __NA__ 1
## 5 2 __NA__ 2
## 6 2 __NA__ 1
## polcontr_2_baseline polcontr_3_baseline polcontr_4_baseline
## 1 2 2 1
## 2 2 2 2
## 3 2 2 2
## 4 2 2 2
## 5 1 2 2
## 6 2 2 2
## polcontr_5_baseline polcontr_6_baseline polcontr_7_baseline
## 1 2 2 2
## 2 2 2 1
## 3 2 2 1
## 4 2 2 2
## 5 2 2 2
## 6 2 2 2
## labunmemb_baseline pew_bornagain_baseline pew_religimp_baseline
## 1 3 2 2
## 2 3 2 1
## 3 3 2 4
## 4 3 2 4
## 5 3 2 1
## 6 3 2 4
## pew_churatd_baseline pew_prayer_baseline religpew_baseline
## 1 5 2 2
## 2 1 1 3
## 3 5 7 10
## 4 5 5 11
## 5 2 3 3
## 6 6 7 10
## religpew_t_baseline religpew_protestant_baseline
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## religpew_protestant_t_baseline Xreligpew_protestant_baseline
## 1 __NA__ NA
## 2 __NA__ NA
## 3 __NA__ NA
## 4 __NA__ NA
## 5 __NA__ NA
## 6 __NA__ NA
## religpew_baptist_baseline religpew_baptist_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_methodist_baseline religpew_methodist_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_nondenom_baseline religpew_nondenom_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_lutheran_baseline religpew_lutheran_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_presby_baseline religpew_presby_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_pentecost_baseline religpew_pentecost_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_episcop_baseline religpew_episcop_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_christian_baseline religpew_christian_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_congreg_baseline religpew_congreg_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_holiness_baseline religpew_holiness_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_reformed_baseline religpew_reformed_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_advent_baseline religpew_advent_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_catholic_baseline religpew_catholic_t_baseline
## 1 1
## 2 NA __NA__
## 3 1 __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_mormon_baseline religpew_mormon_t_baseline
## 1 NA __NA__
## 2 1
## 3 NA __NA__
## 4 NA __NA__
## 5 1
## 6 NA __NA__
## religpew_orthodox_baseline religpew_orthodox_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_jewish_baseline religpew_jewish_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_muslim_baseline religpew_muslim_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_buddhist_baseline religpew_buddhist_t_baseline
## 1 NA __NA__
## 2 NA __NA__
## 3 NA __NA__
## 4 NA __NA__
## 5 NA __NA__
## 6 NA __NA__
## religpew_hindu_baseline religpew_hindu_t_baseline milstat_1_baseline
## 1 NA __NA__ 2
## 2 NA __NA__ 2
## 3 NA __NA__ 2
## 4 NA __NA__ 2
## 5 NA __NA__ 2
## 6 NA __NA__ 2
## milstat_2_baseline milstat_3_baseline milstat_4_baseline
## 1 2 2 1
## 2 2 2 1
## 3 2 1 2
## 4 2 1 2
## 5 2 1 2
## 6 2 2 1
## milstat_5_baseline milstat_insert_baseline gunown_baseline
## 1 2 __NA__ 3
## 2 2 __NA__ 1
## 3 2 __NA__ 1
## 4 2 __NA__ 3
## 5 2 __NA__ 3
## 6 2 __NA__ 2
## smoke100_baseline smokenow_baseline healthdk_0_baseline
## 1 1 3 1
## 2 2 NA 1
## 3 2 NA 1
## 4 2 NA 1
## 5 1 3 1
## 6 2 NA 1
## healthcov2_baseline healthcov_t_baseline knowgay4_baseline
## 1 2 1
## 2 1 1
## 3 2 2
## 4 1 1
## 5 3 TriCare 1
## 6 1 1
## closegay4_baseline birthyr_baseline gender_baseline race_baseline
## 1 2 1931 2 1
## 2 2 1952 2 1
## 3 NA 1931 1 1
## 4 2 1959 1 1
## 5 2 1952 1 1
## 6 2 1939 2 1
## race_other_baseline educ_baseline child18_baseline child18num_baseline
## 1 5 2 NA
## 2 3 2 NA
## 3 2 2 NA
## 4 3 2 NA
## 5 5 2 NA
## 6 4 2 NA
## child_age1_1_baseline child_age2_1_baseline child_age3_1_baseline
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## child_age4_1_baseline child_age5_1_baseline child_age6_1_baseline
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## child_age7_1_baseline child_age8_1_baseline child_age9_1_baseline
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## child_age10_1_baseline student2_baseline job_baseline
## 1 NA 3 NA
## 2 NA 3 NA
## 3 NA 3 NA
## 4 NA 3 NA
## 5 NA 3 NA
## 6 NA 3 NA
## employstat2_t_baseline employstat2_baseline industry_baseline
## 1 __NA__ 5 NA
## 2 __NA__ 6 NA
## 3 __NA__ 5 NA
## 4 __NA__ 1 51
## 5 __NA__ 2 71
## 6 __NA__ 5 NA
## industry_former_baseline naics3_t_baseline naics3_baseline
## 1 51 __NA__ NA
## 2 NA __NA__ NA
## 3 92 __NA__ NA
## 4 NA __NA__ 518
## 5 NA __NA__ 711
## 6 62 __NA__ NA
## occupationcat_baseline occupationother_baseline hourscomputing_baseline
## 1 3 5
## 2 8 2
## 3 1 3
## 4 1 12
## 5 1 3
## 6 8 4
## intuse_else_baseline intuse_home_baseline intuse_mobile_baseline
## 1 NA NA NA
## 2 7 1 5
## 3 NA NA NA
## 4 7 1 7
## 5 7 1 7
## 6 7 1 1
## intuse_work_baseline intuse2_home_baseline intuse2_work_baseline
## 1 NA 1 NA
## 2 NA NA NA
## 3 NA 1 NA
## 4 1 NA NA
## 5 7 NA NA
## 6 NA NA NA
## intuse2_cafe_baseline intuse2_mobile_baseline intuse2_else_baseline
## 1 7 7 7
## 2 NA NA NA
## 3 7 7 7
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## daily_intuse_home_baseline daily_intuse_work_baseline
## 1 2 NA
## 2 3 NA
## 3 2 NA
## 4 2 1
## 5 1 NA
## 6 3 NA
## daily_intuse_cafe_baseline daily_intuse_mobile_baseline
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA 3
## daily_intuse_else_baseline employ_spouse_baseline
## 1 NA NA
## 2 NA 1
## 3 NA NA
## 4 NA NA
## 5 NA 4
## 6 NA 5
## employ_spouse_t_baseline phone_baseline faminc_baseline cand_baseline
## 1 __NA__ 1 6 258342
## 2 1 8 317635
## 3 __NA__ 1 5 102825
## 4 __NA__ 1 9 45897
## 5 1 10 330742
## 6 3 4 101855
## cdid_baseline demnom2_baseline demnom_t_baseline izip_baseline
## 1 3 1 89052
## 2 6 3 85298
## 3 6 2 Hillery Clinton 54904
## 4 1 1 74104
## 5 21 3 78148
## 6 12 1 94061
## lookupzip_baseline prim12_baseline statefips_baseline ccap2012_post_2016
## 1 89052 1 32 1
## 2 85298 2 4 1
## 3 54904 1 55 1
## 4 74104 3 40 1
## 5 78148 2 48 1
## 6 94061 1 6 1
## post_inputstate_2012 post_cdid113_2012 post_turnout12_2012
## 1 32 3 5
## 2 4 5 5
## 3 55 6 5
## 4 40 1 5
## 5 48 28 5
## 6 6 18 5
## post_turnout_method12_2012 post_presvote12_2012
## 1 4 1
## 2 4 2
## 3 4 2
## 4 2 1
## 5 4 2
## 6 5 1
## post_presvote12_other_2012 post_senvote12_2012 post_senvote12_other_2012
## 1 __NA__ 1 __NA__
## 2 __NA__ 2 __NA__
## 3 __NA__ 2 __NA__
## 4 __NA__ NA __NA__
## 5 __NA__ 2 __NA__
## 6 __NA__ 1 __NA__
## post_house12_2012 post_housevote12_other_2012 post_pid7_2012
## 1 1 __NA__ 2
## 2 2 __NA__ 7
## 3 2 __NA__ 7
## 4 7 4
## 5 2 __NA__ 7
## 6 1 __NA__ 1
## post_pid3_t_2012 post_pid3_2012 post_ideo5_2012 post_newsint_2012
## 1 __NA__ 1 3 1
## 2 __NA__ 2 4 1
## 3 __NA__ 2 3 1
## 4 __NA__ 3 3 1
## 5 __NA__ 2 4 1
## 6 __NA__ 1 1 1
## post_HouseCand1Name_2012 post_HouseCand1Party_2012
## 1 John Oceguera Democratic
## 2 Spencer Morgan Democratic
## 3 Joe Kallas Democratic
## 4 John Olson Democratic
## 5 Henry Cuellar Democratic
## 6 Anna Eshoo Democratic
## post_HouseCand2Name_2012 post_HouseCand2Party_2012
## 1 Joe Heck Republican
## 2 Matt Salmon Republican
## 3 Tom Petri Republican
## 4 Jim Bridenstine Republican
## 5 William Hayward Republican
## 6 Dave Chapman Republican
## post_HouseCand3Name_2012 post_HouseCand3Party_2012
## 1
## 2
## 3
## 4
## 5
## 6
## post_SenCand1Name_2012 post_SenCand1Party_2012 post_SenCand2Name_2012
## 1 Shelley Berkley Democratic Dean Heller
## 2 Richard Carmona Democratic Jeff Flake
## 3 Tammy Baldwin Democratic Tommy Thompson
## 4
## 5 Paul Sadler Democratic Ted Cruz
## 6 Dianne Feinstein Democratic Elizabeth Emken
## post_SenCand2Party_2012 post_SenCand3Name_2012 post_SenCand3Party_2012
## 1 Republican
## 2 Republican
## 3 Republican
## 4
## 5 Republican
## 6 Republican
## starttime_2017 endtime_2017 starttime_2016
## 1 14jul2017 15:05:53 14jul2017 15:37:41 29nov2016 22:59:43
## 2 13jul2017 18:45:42 13jul2017 20:20:33 29nov2016 15:41:28
## 3 13jul2017 18:11:20 13jul2017 18:43:52 29nov2016 16:08:39
## 4 14dec2016 18:46:33
## 5 19jul2017 09:29:05 19jul2017 10:07:07 01dec2016 10:17:47
## 6 13jul2017 18:17:53 13jul2017 19:00:57 29nov2016 15:30:37
## endtime_2016
## 1 29nov2016 23:28:24
## 2 29nov2016 18:58:28
## 3 29nov2016 16:32:43
## 4 14dec2016 19:11:20
## 5 01dec2016 10:59:48
## 6 29nov2016 15:50:15Skill2_MovieMetaData<-read.csv("/Users/juliushunte/Desktop/Skill 2 Data R.csv")
head(Skill2_MovieMetaData)## color director_name num_critic_for_reviews duration
## 1 Color James Cameron 723 178
## 2 Color Gore Verbinski 302 169
## 3 Color Sam Mendes 602 148
## 4 Color Christopher Nolan 813 164
## 5 Doug Walker NA NA
## 6 Color Andrew Stanton 462 132
## director_facebook_likes actor_3_facebook_likes actor_2_name
## 1 0 855 Joel David Moore
## 2 563 1000 Orlando Bloom
## 3 0 161 Rory Kinnear
## 4 22000 23000 Christian Bale
## 5 131 NA Rob Walker
## 6 475 530 Samantha Morton
## actor_1_facebook_likes gross genres
## 1 1000 760505847 Action|Adventure|Fantasy|Sci-Fi
## 2 40000 309404152 Action|Adventure|Fantasy
## 3 11000 200074175 Action|Adventure|Thriller
## 4 27000 448130642 Action|Thriller
## 5 131 NA Documentary
## 6 640 73058679 Action|Adventure|Sci-Fi
## actor_1_name
## 1 CCH Pounder
## 2 Johnny Depp
## 3 Christoph Waltz
## 4 Tom Hardy
## 5 Doug Walker
## 6 Daryl Sabara
## movie_title
## 1 Avatar\x8c\xe6
## 2 Pirates of the Caribbean: At World's End\x8c\xe6
## 3 Spectre\x8c\xe6
## 4 The Dark Knight Rises\x8c\xe6
## 5 Star Wars: Episode VII - The Force Awakens\x8c\xe6
## 6 John Carter\x8c\xe6
## num_voted_users cast_total_facebook_likes actor_3_name
## 1 886204 4834 Wes Studi
## 2 471220 48350 Jack Davenport
## 3 275868 11700 Stephanie Sigman
## 4 1144337 106759 Joseph Gordon-Levitt
## 5 8 143
## 6 212204 1873 Polly Walker
## facenumber_in_poster
## 1 0
## 2 0
## 3 1
## 4 0
## 5 0
## 6 1
## plot_keywords
## 1 avatar|future|marine|native|paraplegic
## 2 goddess|marriage ceremony|marriage proposal|pirate|singapore
## 3 bomb|espionage|sequel|spy|terrorist
## 4 deception|imprisonment|lawlessness|police officer|terrorist plot
## 5
## 6 alien|american civil war|male nipple|mars|princess
## movie_imdb_link
## 1 http://www.imdb.com/title/tt0499549/?ref_=fn_tt_tt_1
## 2 http://www.imdb.com/title/tt0449088/?ref_=fn_tt_tt_1
## 3 http://www.imdb.com/title/tt2379713/?ref_=fn_tt_tt_1
## 4 http://www.imdb.com/title/tt1345836/?ref_=fn_tt_tt_1
## 5 http://www.imdb.com/title/tt5289954/?ref_=fn_tt_tt_1
## 6 http://www.imdb.com/title/tt0401729/?ref_=fn_tt_tt_1
## num_user_for_reviews language country content_rating budget
## 1 3054 English USA PG-13 237,000,000
## 2 1238 English USA PG-13 300,000,000
## 3 994 English UK PG-13 245,000,000
## 4 2701 English USA PG-13 250,000,000
## 5 NA
## 6 738 English USA PG-13 263,700,000
## title_year actor_2_facebook_likes imdb_score aspect_ratio
## 1 2009 936 7.9 1.78
## 2 2007 5000 7.1 2.35
## 3 2015 393 6.8 2.35
## 4 2012 23000 8.5 2.35
## 5 NA 12 7.1 NA
## 6 2012 632 6.6 2.35
## movie_facebook_likes idnumber
## 1 33000 1
## 2 0 2
## 3 85000 3
## 4 164000 4
## 5 0 5
## 6 24000 6Skill3_TopSpotify50<-read_csv("/Users/juliushunte/Desktop/Skill 1 Data R.csv")## Parsed with column specification:
## cols(
## Position = col_integer(),
## `Track Name` = col_character(),
## Artist = col_character(),
## URL = col_character()
## )head(Skill3_TopSpotify50)## # A tibble: 6 x 4
## Position `Track Name` Artist URL
## <int> <chr> <chr> <chr>
## 1 1 Happier Marshm… https://open.spotify.c…
## 2 2 Baby Shark Pinkfo… https://open.spotify.c…
## 3 3 Noticed Lil Mo… https://open.spotify.c…
## 4 4 Mo Bamba Sheck … https://open.spotify.c…
## 5 5 Smile (Living My Best Life) (f… Lil Du… https://open.spotify.c…
## 6 6 Sweet but Psycho Ava Max https://open.spotify.c…