検索ワード: how to call the column of data in r (スペイン語 - 英語)

%1 ksignifies absence of data in list columns
%1k

labour accounts in the netherlands, 1987-1993: how to cope with fragmented macro data in official statistics.
labour accounts in the netherlands, 1987-1993: how to cope with fragmented macro data in official statistics.

xuanzang's was also the first translation to call the text a "sutra".
xuanzang's translation was also the first to call the text a "sutra".

asegúrese de consultar con su técnico-afinador de pianos acerca de cómo hacerlo o a quién llamar para elloabout either how to do it or whom to call.
make sure to ask your piano tuner-technician about either how to do it or whom to call.

"the liquidation of the ussr is not beneficial to the usa, since they have now no mighty democratic country (the former ussr) which i wanted to call the union of independent sovereign republics.
"the liquidation of the ussr is not beneficial to the usa, since they have now no mighty democratic country (the former ussr) which i wanted to call the union of independent sovereign republics.

"mapping of oil spill sensitive areas in the davis strait, west greenland a review of biological data in relation to oil spill sensitivity mapping, with an identification of data gaps".
"mapping of oil spill sensitive areas in the davis strait, west greenland a review of biological data in relation to oil spill sensitivity mapping, with an identification of data gaps".

country divorces population per 1000 persons (thousands) portugal 3.10 10 266 maybe, you could hurriedly decide to get the whole amount of portugal's population by doing: 10 266 * 1000 = 10 266 000 people but that would be a waste of time, because later when you had to apply the rule of three: if there are 3.10 divorces per 1000 persons, there will be x divorces per 10 266 000 people x = 10:266 000 * 3.10 / 1000 so you would have to divide by 1000, after having multiplied by 1000 - both opposite operations can be simplified. therefore, paying more attention to our table from the beginning, we can observe that the figure of divorces is expressed 'per 1000 persons', which is exactly the same order of magnitude, 'thousands', that we have in the column of population, so we only need to directly multiply both figures to obtain the number of divorces (thank you for this little present, epso!). 3.10 * 10 266 = 31 825. so option b) is the right one. anyway, you can verify that your multiplication magnitudes is also right: 3.10 divorces / #husband people * 10 266 #thousand people = = 31 825 divorces 81
i can drive