Datasets:
zhoujun
/
hitab

Dataset card Data Studio Files
xet
 Community
1
id
stringlengths
32
32
question
stringlengths
20
359
table_id
stringlengths
1
30
table
dict
answer
list
717e4713ff535a5ae1bef09020ad6b9e
what is the percentage of men who reported being subjected to unwanted sexual attention, such as whistles, calls, suggestive looks, gestures or body language?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "2.0" ]
053ac808f3b3b55c8501acc4b0fa9e0b
what is the percentage of women who indicated that a single person was behind the unwanted behavior online?
2328
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "71.0" ]
25a83f49e8e96b16f0366fe9045d59e6
what is the percentage of men who indicated that a single person was behind the unwanted behavior online?
2328
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "59.0" ]
a7ac7500b81bd0365e749102acc0260d
what is the percentage of both men and women who had experienced at least on unwanted behavior online and who could not say how many people were responsible for the most serious incident?
2328
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "13.0", "13.0" ]
068e60b890131db9d58f6f74c2eea7c9
what is the percentage of women who indicated that the perpetrator of unwanted behavior online was male?
2328
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "63.0" ]
a4e1a21d2fd4fb539acc4600b5bff0f6
which league did roman strada appear with guillermo brown in 2016-17, quilmes in 2017-18, and mitre in 2018?
232_totto26529-0
{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "league cup", "", "continental", "", "other", "" ], [ "", "", "division", "apps", "goals", "apps", "goals", "apps", ...
[ "primera b nacional" ]
346080e5722f13c63645832f70969632
by what percentage did immigrant women contribute to the total increase in scientific workers at the university level?
233
{ "cells": [ [ "", "total", "computer science", "engineering", "other" ], [ "", "percentage", "", "", "" ], [ "total", "100.0", "60.4", "26.1", "13.4" ], [ "immigrants", "46.8", "29....
[ "12.9" ]
fc60fd5707d52db031fd247ac886c0e0
by what percentage did immigrant women contribute to the total increase in scientific workers at the university level?
233
{ "cells": [ [ "", "total", "computer science", "engineering", "other" ], [ "", "percentage", "", "", "" ], [ "total", "100.0", "60.4", "26.1", "13.4" ], [ "immigrants", "46.8", "29....
[ "14.5" ]
0b9517dd8d685c6098116f9060cedbe1
by what percentage did immigrant men contribute to the total increase in scientific workers at the university level?
233
{ "cells": [ [ "", "total", "computer science", "engineering", "other" ], [ "", "percentage", "", "", "" ], [ "total", "100.0", "60.4", "26.1", "13.4" ], [ "immigrants", "46.8", "29....
[ "33.9" ]
577029b51830e0fb9dd30c8ab21a077e
by what percentage did canadian-born men contribute to the total increase in scientific workers at the university level?
233
{ "cells": [ [ "", "total", "computer science", "engineering", "other" ], [ "", "percentage", "", "", "" ], [ "total", "100.0", "60.4", "26.1", "13.4" ], [ "immigrants", "46.8", "29....
[ "38.7" ]
ffeaf45f2428e6671f201521bb2be5fc
what is the minimum and maximum of r2?
2330
{ "cells": [ [ "", "regression equation", "r2" ], [ "", "", "" ], [ "moderate-to-vigorous physical activity", "y = 0.78x + 15.76", "0.85" ], [ "light physical activity", "y = 0.72x + 6.67", "0.85" ], [ "s...
[ "0.83", "0.87" ]
77e3486f2d7be6b2b8601c0b205eb2f7
how many minutes of physical activity did the total population accumulate per day?
2331
{ "cells": [ [ "characteristic", "total", "", "", "boys", "", "", "girls", "", "" ], [ "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95...
[ "283.0" ]
5820015003581ff28a55754fd689ce6d
of the 283 minutes of physical activity accumulated by total population, how many minutes were mvpa accounted for?
2331
{ "cells": [ [ "characteristic", "total", "", "", "boys", "", "", "girls", "", "" ], [ "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95...
[ "69.0" ]
7dcbde472dd3164bdc893ca089e9ed8f
how many hours did the total three-to-4-year-olds were the accelerometer on valid days?
2331
{ "cells": [ [ "characteristic", "total", "", "", "boys", "", "", "girls", "", "" ], [ "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95...
[ "12.0" ]
865a0ed11eae74fa24b9eaf192f2edfb
on average, how many minutes were the total 3-to-4-year-olds sedentary a day?
2331
{ "cells": [ [ "characteristic", "total", "", "", "boys", "", "", "girls", "", "" ], [ "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95...
[ "436.0" ]
ae2e9da16dc3dbf015f49a6b7990cff6
what was the range of the mean absolute revision for 2015 to 2017?
2336
{ "cells": [ [ "", "2015", "2016", "2017", "2015 to 2017" ], [ "", "percentage", "", "", "" ], [ "newfoundland and labrador", "0.42", "0.00", "1.22", "0.27" ], [ "prince edward island", "0...
[ "0.07", "1.13" ]
1a27b763d7d782f5afe11764aac27648
which province had the largest absolute mean revision in 2015?
2336
{ "cells": [ [ "", "2015", "2016", "2017", "2015 to 2017" ], [ "", "percentage", "", "", "" ], [ "newfoundland and labrador", "0.42", "0.00", "1.22", "0.27" ], [ "prince edward island", "0...
[ "newfoundland and labrador" ]
ed8798b8c3536a64113616c4276cf0e5
what was the number of women and men included in the top 1% in 2015 respectively?
2338
{ "cells": [ [ "", "2015", "", "2005", "" ], [ "", "women", "men", "women", "men" ], [ "", "number", "", "", "" ], [ "top 0.1%", "2,231", "15,004", "1,667", "14,356" ...
[ "34982.0", "137321.0" ]
f4c20a7fc8bee8fdd3fef51a5f6004cb
what was the percentage of women in the top 1% in 2005?
2338
{ "cells": [ [ "", "2015", "", "2005", "" ], [ "", "women", "men", "women", "men" ], [ "", "number", "", "", "" ], [ "top 0.1%", "2,231", "15,004", "1,667", "14,356" ...
[ "0.159764" ]
840a12928abb890695af3551ac64511f
what was the number of women and men in the top 0.1% in 2015 respectively?
2338
{ "cells": [ [ "", "2015", "", "2005", "" ], [ "", "women", "men", "women", "men" ], [ "", "number", "", "", "" ], [ "top 0.1%", "2,231", "15,004", "1,667", "14,356" ...
[ "2231.0", "15004.0" ]
92b381ebc5cb7ef7db43d8e3cbf9993a
what was the percentage of working women in the top 1% between 25 and 54 in 2015?
2339
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "66.2" ]
abe784adeeace456b350d60cbeb0bee9
what was the percentage of working women in the top 1% between 25 and 44.
2339
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "27" ]
6f78d53cdf574f9fa0bc41dcd91a39d9
what was the percentage of working women in the top 1% belonging to a visible minority group.
2339
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "13.8" ]
ad51ff15bcb45c8830e7c824e99d32b7
in the european parliament election of 2009, how many percent did the psd capture of the popular vote?
233_totto26600-0
{ "cells": [ [ "election", "european parliament", "", "", "", "", "size", "candidate" ], [ "", "votes", "%", "±pp", "seats won", "+/", "", "" ], [ "1987", "2,111,828", "37.5%", "...
[ "0.317" ]
23ca1d6b14170dbd0c85ca278f9ef4c1
in 2017, which league did beijmo appear for side djurgardens if?
233_totto26648-3
{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "continental", "", "total", "" ], [ "", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", ...
[ "allsvenskan" ]
4da1eaf3580b03f6d561dc23f3db3666
which group of women was more likely to have a permanent position, to work full time and to have higher hourly wages, women who worked in scientific occupations or women who worked in non-scientific occupations?
234
{ "cells": [ [ "", "women", "", "men", "" ], [ "", "scientific occupations", "non-scientific occupations", "scientific occupations", "non-scientific occupations" ], [ "", "percentage", "", "", "" ], [...
[ "scientific occupations" ]
0282b1f0af9b866c8f8c96a0fae66537
which group of women was less likely to be unionized, women in scientific occupations or women in non-scientific occupations?
234
{ "cells": [ [ "", "women", "", "men", "" ], [ "", "scientific occupations", "non-scientific occupations", "scientific occupations", "non-scientific occupations" ], [ "", "percentage", "", "", "" ], [...
[ "scientific occupations" ]
e9303b703d1ac5ba0ad67c8246b65fc0
which group of men was less likely to be unionized, men in scientific occupations or men in non-scientific occupations?
234
{ "cells": [ [ "", "women", "", "men", "" ], [ "", "scientific occupations", "non-scientific occupations", "scientific occupations", "non-scientific occupations" ], [ "", "percentage", "", "", "" ], [...
[ "scientific occupations" ]
02a08b061650fe44e54660dbd2aa7d2d
who were more likely to be married or in a common-law relationship,workers in the top 1% or those in the bottom 90%?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "top 1%" ]
8512f71c0eb8c13c6378f3a24340c7b5
what was the percentage of women and men in top 1% who were married or in a common-law relationship respectively?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "77.3", "88.4" ]
c78986f4f1ef16a42ff7b141e5b837f5
what was the percentage of working women and men in the bottom 90% who were married or in a common-law relationship respectively?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "59.5", "59.9" ]
083b217d5b29e6914c7afabe10afadcb
what was the multiple relationship between women in top 1% who were lone parents and their male counterparts?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "3.076923" ]
1df0d06f98cb2c691618a24bb24f4858
for workers in the bottom 90%,who were more likely to be living alone or with non-family members,women or men?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "men" ]
401c37856753b9025647faebb285d8ec
what were the percentages of working women in the top 1% who were either living alone or with non-family members and their male counterparts respectively?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "13.9", "8.6" ]
4fa77d274cbec4a3a6bf0a7fc6fea975
for workers in the top 1%,who were more likely to have one children?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "women" ]
5ad07cf9d8f118861f2c821bf05b5552
for workers in the bottom 90%,who were more likely to have one children ,women or men?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "women" ]
083d8e44393dc5c65865298c12bac5b1
what was the percentage of women in the top 1% who had no child and their male counterparts respectively?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "41.6", "37.6" ]
e2ff0c297b4670e102e5adf7abaeeac2
for workers in the top 1%,who had fewer children,womem or men?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "women" ]
7d0068db72fae19a950e76a28c8a6a15
what was the percentage of women in the top 1% who had only one child and their male counterparts respectively?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "19.6", "17.3" ]
00b12b6400d32e8a88d888442bbd9525
what was the percentage of working men in the top 1% who had two or more children and their female counterparts respectively?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "45.2", "38.8" ]
51ac408c1793136139eb429eefdda352
what was the percentage of men in top 1% who had three or more children and their female counterparts respectively?
2340
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "15.4", "10.5" ]
a3f2b343d6d06081882aaac5b0aafdea
what were the percentages of working women in the top 1% who lived in toronto and their male counterparts respectively?
2341
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "31.5", "26.9" ]
c485bc7e91133ec1401c35e67e401df3
what was the percentage of women in the bottom 90% who lived in toronto?
2341
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "16.9" ]
a0c92d777ad39af197b85977ed7260c5
for workers in the top 1%,who were less likely to live in calgary or edmonton?
2341
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "women" ]
2e4d478c6fe68a86beeabb2a9cba7896
what was the percentage of working women in the top 1% who obtained a bachelor's degree or higher in 2015.
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "74.2" ]
e5516178306650641e0acbd576009afe
what was the percentage of working men in the top 1% who obtained a bachelor's degree or higher in 2015.
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "70" ]
b25396e799022add8711b13fd512d71d
for workers in the top 1%,who were more likely to obtain a university certificate or diploma above the bachelor's level,women or men?
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "women" ]
1e32717417a80e3913dde0b1404d8d68
for those in the top 1%,who were less likely to study in architecture, engineering, and related technologies,women or men?
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "women" ]
690a2cfc8774bf32a78e8440965f4cf9
what were the percentages of women in the top1% who studied in physical and life sciences and technology and their counterparts respectively?
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "5.7", "5.8" ]
bfb9ff76f1a7c2671637d4bc01129b09
what were the percentages of women in the top1% who studied in mathematics, computer science and information sciences and their counterparts respectively?
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "2.2", "3.2" ]
38ac0b8edc4f47f01183f6024b653356
for workers in the top1%,who were more likely to have studied social and behavioural sciences and law,women or men?
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "women" ]
e5cc41d7ec6f9c430ff1938f45f6aa5b
what were the percentages of women in the top1% who studied inbusiness, management and public administration and their counterparts respectively?
2342
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "percent", ...
[ "28.5", "35.8" ]
0af430528104e97cdc0a3fe4ad671052
how many hours did women in the top1% who were living alone or with non-family members work and their male counterparts respectively?
2345
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "hours", ...
[ "45.8", "46.4" ]
eb620c2816d4b4b635d3ed69e03daac5
how many hours did women in the top 1% who were married or in a common-law relationship work?
2345
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "hours", ...
[ "42.3" ]
969464141685edd3604e4b6d02f768c5
what was the average time(hours)did women in the top 1% who had one or two children work?
2345
{ "cells": [ [ "", "women", "", "", "", "men", "", "", "" ], [ "", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%" ], [ "", "hours", ...
[ "42.1" ]
bafb06b6c54613b152f25f90fd04493c
what was the number of the median amount of debt held by senior families with debt (dollars)?
2348
{ "cells": [ [ "", "median debt", "", "", "median assets", "", "" ], [ "", "1999", "2016", "change", "1999", "2016", "change" ], [ "", "2016 constant dollars", "", "", "", "", ...
[ "25000.0" ]
c1e7b5c4db52f2378cb46495ae3a4542
what was the number of median level of assets held by senior families with debt in 2016?
2348
{ "cells": [ [ "", "median debt", "", "", "median assets", "", "" ], [ "", "1999", "2016", "change", "1999", "2016", "change" ], [ "", "2016 constant dollars", "", "", "", "", ...
[ "607400.0" ]
03eb6cd058841479f5b1f9b7de7a86b4
what was the change in average debt and average assets between 1999 and 2016 respectively?
2349
{ "cells": [ [ "", "change in average debt", "", "", "change in average assets", "", "", "" ], [ "", "change, 1999 to 2016", "due to mortgage debt", "due to consumer debt", "change, 1999 to 2016", "due to real estate asset...
[ "50000.0", "500900.0" ]
c213cc410c8302b608f8f637752b407a
how much(dollars) was the median net worth of senior families with debt in 2016?
2350
{ "cells": [ [ "", "1999", "2016", "change" ], [ "", "2016 constant dollars", "", "" ], [ "senior families with debt", "298,900", "537,400", "238,500" ], [ "sex of major income earner", "", "", ...
[ "537400.0" ]
df912be6c1c4dc5a46a62a4a7337ddac
list the top 2 families with the largest increases.
2350
{ "cells": [ [ "", "1999", "2016", "change" ], [ "", "2016 constant dollars", "", "" ], [ "senior families with debt", "298,900", "537,400", "238,500" ], [ "sex of major income earner", "", "", ...
[ "fourth quintile", "top quintile" ]
7d30cf5f0493034961c588c5d6a0cc89
what was the percentage of incidents of violent crime that were classified as unfounded?
2351
{ "cells": [ [ "type of offence", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "total criminal code ...
[ "12.2" ]
722f087f60978ed99c16bcae96a6bd73
what was the percentage of sexual assaults (levels 1, 2 and 3) reported to police classified as unfounded?
2351
{ "cells": [ [ "type of offence", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "total criminal code ...
[ "13.7" ]
50d8140ebfb9aed6e499b057cc362ec3
list the top3 offences most likely to be classified as unfounded by police.
2351
{ "cells": [ [ "type of offence", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "total criminal code ...
[ "criminal harassment", "indecent or harassing communications", "uttering threats" ]
576b868b89004811abf2410dc4094af9
what were the percentages of robbery and extortion classified as unfounded?
2351
{ "cells": [ [ "type of offence", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "total criminal code ...
[ "4.9", "4.7" ]
dbd4c7b7e5e41bbd08d92dac820be035
what was the number of incidents of sexual assault reported to police in 2017 that were deemed to be unfounded?
2351
{ "cells": [ [ "type of offence", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "total criminal code ...
[ "3835.0" ]
8a8e1cb95c789f9454b61564f476dcdc
what was the percentage of sexual assault representing of all founded incidents of violent crime?
2351
{ "cells": [ [ "type of offence", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "total criminal code ...
[ "0.059757" ]
0e2c6d7a49eba42a736fa28700fda1db
what were the percentages of physical assaults (levels 1, 2, and 3) classified as unfounded in 2016 and 2017 respectively?
2353
{ "cells": [ [ "province or territory", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "newfoundland a...
[ "11.5", "9.3" ]
86e4934f805e5fc7da4fbefb9aa672c9
list the top3 provinces and territories with the greatest decrease.
2353
{ "cells": [ [ "province or territory", "reported", "unfounded", "", "founded", "", "cleared", "" ], [ "", "number", "number", "percent", "number", "rate", "number", "percent" ], [ "newfoundland a...
[ "prince edward island", "nova scotia", "manitoba" ]
edb655c5f2187535a3ba21f8a5656289
what was the multiple relationship between immigrant seniors aged 65 and older and immigrants aged 25 to 34?
2359
{ "cells": [ [ "", "sample size", "distribution", "predicted rate" ], [ "", "thousands", "percent", "rate" ], [ "overall", "2,085", "100.0", "12.3" ], [ "gender", "", "", "" ], [ "...
[ "3.608696" ]
79c2ce9214dccbf39b23f26ad9ad0c1e
what was the adjusted rate among the longer-tenured immigrants(16 to 20 years) ?
2359
{ "cells": [ [ "", "sample size", "distribution", "predicted rate" ], [ "", "thousands", "percent", "rate" ], [ "overall", "2,085", "100.0", "12.3" ], [ "gender", "", "", "" ], [ "...
[ "9.5" ]
2f1d326429bf36ae09e77dd0fb35e40c
what was the multiple relationship between immigrants with no knowledge of english or french and immigrants with knowledge of both languages?
2359
{ "cells": [ [ "", "sample size", "distribution", "predicted rate" ], [ "", "thousands", "percent", "rate" ], [ "overall", "2,085", "100.0", "12.3" ], [ "gender", "", "", "" ], [ "...
[ "1.446809" ]
2fcfd6dfba02615517585f61d3878b30
what was the multiple relationship between immigrants with a secondary school education and those with a non-university postsecondary education?
2359
{ "cells": [ [ "", "sample size", "distribution", "predicted rate" ], [ "", "thousands", "percent", "rate" ], [ "overall", "2,085", "100.0", "12.3" ], [ "gender", "", "", "" ], [ "...
[ "1.118644" ]
6eb3119ef5f30befef630e2d3c1791b0
which difficulties factors has positive correlations among all five factors?
236
{ "cells": [ [ "factors", "f1", "f2", "f3", "f4", "f5" ], [ "f1. emotional symptoms", "..", "..", "..", "..", ".." ], [ "f2. conduct problems", "0.37", "..", "..", "..", ".." ], [ ...
[ "f1. emotional symptoms", "f2. conduct problems", "f3. peer problems", "f4. hyperactivity" ]
ab52f3c1be43de0a3601a10e972a0279
which factor correlated negatively with other four difficulties factors?
236
{ "cells": [ [ "factors", "f1", "f2", "f3", "f4", "f5" ], [ "f1. emotional symptoms", "..", "..", "..", "..", ".." ], [ "f2. conduct problems", "0.37", "..", "..", "..", ".." ], [ ...
[ "f5. prosocial behaviour" ]
f09cb5c19db3b2728b09ad63a2eb3dd3
what was the range of comparison group rates in 2012?
2361
{ "cells": [ [ "", "2000", "2002", "2004", "2006", "2008", "2010", "2012" ], [ "", "rate", "", "", "", "", "", "" ], [ "newfoundland and labrador", "15.2", "13.3", "12.1", ...
[ "1.3", "6.0" ]
74b2c9756e84c152400697ed842c5c98
who had shorter survival times,low participating men and women or those frequently in community-related activities?
2366
{ "cells": [ [ "social isolation measure", "men", "", "", "women", "", "" ], [ "", "mean survival time", "95% confidence interval", "", "mean survival time", "95% confidence interval", "" ], [ "", "(day...
[ "low participation" ]
6ed03ffef2c02757def162eefedccce0
for women,who had shorter survival time,low participators or high participators?
2366
{ "cells": [ [ "social isolation measure", "men", "", "", "women", "", "" ], [ "", "mean survival time", "95% confidence interval", "", "mean survival time", "95% confidence interval", "" ], [ "", "(day...
[ "low participation" ]
3e3db0e2908c49f20645545318973b9a
which league did niklas hult appear in club nice for the 2014-15 season?
236_totto26901-4
{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "continental", "", "other", "", "total", "" ], [ "", "", "division", "apps", "goals", "apps", "goals", "apps", "...
[ "ligue 1" ]
fccef58d04c2328aecf3ea4de46fc099
what is the maximum and minimum of all standardized factor loadings for the five-factor model?
237
{ "cells": [ [ "subscale and items", "factor loading", "standard error", "r-square" ], [ "emotional symptoms", "", "", "" ], [ "headaches, stomach aches", "0.45", "0.02", "0.20" ], [ "worries", "0.72", ...
[ "0.9", "0.45" ]
096bfef5c21778a71d53ba39f23219da
what is the minimum of all five factors' composite reliability?
237
{ "cells": [ [ "subscale and items", "factor loading", "standard error", "r-square" ], [ "emotional symptoms", "", "", "" ], [ "headaches, stomach aches", "0.45", "0.02", "0.20" ], [ "worries", "0.72", ...
[ "peer problems" ]
e0d9750b9270aa424980f07992f90acf
what was the percentage of male stem graduates?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "69.8" ]
0a3a3652942683c6506f4ca7f9f99b39
what was the percentage of those married or in a common-law relationship of the sample?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "77.5" ]
6f3cc8a210245fafe3f26c6a2c26b820
what was the percentage of those single in 2016?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "17.1" ]
660fbddb64d1fa77ae601c98cd26a993
what was the percentage of those did not have children younger than 6 in either 2006 or 2016?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "65.3" ]
fdede6b192068ddfaea00f946ce6be64
what was the percentage of those who had children younger than 6 in 2006 and 2016?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "2.1" ]
d4522bb14727cd6a54f0b0e10e6697da
what was the percentage of respondents reported being a member of a visible minority group?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "25.2" ]
e4fda6ae2dc0a0c60c1e61184d4d5c0b
for those with stem credentials,who had a higher proportion of immigrants?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "women" ]
1648d00725760571af7976362e115a8d
what was the percentage of stem graduates identified as a member of an aboriginal group in the longitudinal sample?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "1.1" ]
926ecde5f349f10f0e7770d0b67bd775
what were the percentages of men and women reported being a member of an aboriginal group respectively?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "1.0", "1.3" ]
dbf47c599a710a3edbf77c5c793e09e1
what was the percentage of respondents who achieved their highest level of education outside canada?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "20.9" ]
c017ea63479cd66ac147896cda629e82
among those who achieved their highest level of education outside canada,who had a higher proportion,men or women?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "women" ]
d3930f554ae57a839d941fe2b2e59df3
who had a higher proportion,graduates reported a college diploma or university certificate below the bachelor's level or those with a bachelor's degree as their highest level of education?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "college, cegep or other non-university certificate or diploma or university certificate below a bachelor's degree" ]
52143003ebfeeccf6f0266879f33f8e8
who were more likely to have college-level credentials?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "men" ]
3120d0ca4dc76538d3346cfc956c80d4
which stem field of study had the largest proportion of stem graduates?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "engineering and engineering technology" ]
656a9b7ece1a292ec6a7adbb45700331
what were the percentages of male and female stem graduates who had studied engineering or engineering technology respectively?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "58.2", "24.1" ]
9d33271489283bbdab53f9215a3d6d36
who were more likely to have studied biological, general or integrated sciences,women or men?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "women" ]
187b883133cc9718f30268500bc96cbc
what was the percentage of stem graduates who had studied mathematics or computer and information sciences?
2374
{ "cells": [ [ "", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", "" ], [ "", "overall", "men", "women", "overall", "men", "women" ], [ ""...
[ "25.1" ]
737d265941a309decb6af6262f09c13b
who were less likely to work in a stem occupation,men and women who identified as visible minorities or their counterparts who did not identify as a minority?
2375
{ "cells": [ [ "", "men", "", "women", "" ], [ "", "coefficient", "standard error", "coefficient", "standard error" ], [ "age group", "", "", "", "" ], [ "35 to 44", "-0.033", "0.007...
[ "visible minority status" ]
b8a983c6ffd022d0c30e616cdbdfa032
who were less likely to be employed in a stem occupation in 2006,aboriginal men with stem credentials or their non-aboriginal counterparts?
2375
{ "cells": [ [ "", "men", "", "women", "" ], [ "", "coefficient", "standard error", "coefficient", "standard error" ], [ "age group", "", "", "", "" ], [ "35 to 44", "-0.033", "0.007...
[ "aboriginal identity" ]
db92b83881411c662ca5ff535c1e40ad
who were less likely to be employed in a stem occupation,stem graduates who held a college diploma or a university certificate below the bachelor's level or bachelor's degree holders.
2375
{ "cells": [ [ "", "men", "", "women", "" ], [ "", "coefficient", "standard error", "coefficient", "standard error" ], [ "age group", "", "", "", "" ], [ "35 to 44", "-0.033", "0.007...
[ "college, cegep or other non-university certificate or diploma or university certificate below a bachelor's degree" ]