All eve names of April 28 2019

pein · 2019-04-29 08:31:06

As of Sunday 28 this are the eve names
there is 254 entries as Noparent chain 1 which means they are eve
there is 102 entries as Eves with names
there is 8399 entries in the whole txt
each birth and death (some error cause it's not even numbers or missing deaths?)
4190 births out of 8399 total
4322 unique player ID where 603 unique player hashes
235 old age but quite few died seconds before reaching that
108 killed by 64 unique killers

2358 kids died below age 3.59 (i think is not 3 min a bit more to grow up and don't rely on others to feed)
this means more than half of those IDs dead, so you left with 2000 players who played the game "normally"
also was a killer who kill a girl with hair so that's the range i choose for kids
6 of this was killed before growing hair
1969 disconnect
is that SID? must be, only found those entries for the id, all disconnects are young people
383 hunger (abandoned, starved, ran away or accident)

2864 players didn't make into adulthood (14 year old) so around 500 people arent skilled or motivated to stay
1348 did reach adulthood
where 937 females and 411 males

overall
303 died before 20
those who reach that 198 reached 30
148 of those reached 40

females who made into adulthood 937
243 died before 20 (where males are rest of 60)
123 died between 20-30 (where males are rest of it now i don't know but seems if males stay then they don't really die after 20)
93 between 30-40
109 between 40-50
51 died between 50-55
and 312 made it to elder
153 died of old age

So you got 250 eves daily
102 can name herself at least, 17 people name themselves Jones cause of the tutorial i guess
And some eves got multiple runs, 29 eves by who are not jones and multiple runs, 2 or more, so 65 unique eves who are not Jones
pls don't do this Dupont and Haak and Pie and others, choose unique name each time, maybe similar ones
so in average you get 2000 people where 500 new or unskilled to survive to adulthood
2/3 is female or suicides
males still die before 20, a male older than that likely stays
if they die before growing hair
20% of babies starve (run or abandoned)
80% suicides
around 200 of 600 unique players play Eve which is 33%
where they didn't name themselves because the spot is bad or they unskilled to do so, and lot of kids suicide cause of this, so it's a bad idea and i cant consider them proper eves so around 10%-15% of Eves choose to settle (might be more but has unnamed lineage)
for around 85 decent lineages we get around 1350 people who take it seriously and play a decent life, where around 950 are girls
and around 400 who are born wrong gender, wrong time (if they abandoned or they run , i don't think kidnap or other issue is very common or just bad intended parents) and 2300 SID
around 500 who unskilled or unmotivated to reach adulthod
it's not eve kid stat, i didn't break it down by chain this is daily total number

for example if each of those 937 females is a generation which is not, you get around 11 females per lineage per decent Eve
not sure on how many Eves make it daily, but the more eves the lower this number is so if one family makes it to 50, that means it used 5% of the females avaliable that day best case scenario (each girl had 1 girl)
right now one line had 40 generations and 4 of them around 25 in top 5
that means 140 females are used up for the top 5 (the stats are for previous day, no clue how long the lineages were, none of them in top 5 this week)

1066217	EVE	JONES	XVII
1065498	EVE	JONES	XVI
1065486	EVE	JONES	XV
1065451	EVE	JONES	XIV
1064833	EVE	JONES	XIII
1064402	EVE	JONES	XII
1064201	EVE	JONES	XI
1064254	EVE	JONES	X
1064247	EVE	JONES	VIII
1065071	EVE	DUPONT	VII
1064053	EVE	JONES	VII
1062519	EVE	DUPONT	VI
1063892	EVE	JONES	VI
1063699	EVE	JONES	V
1064234	EVE	JONES	IX
1063248	EVE	HAAK	IV
1064621	EVE	IMMORDINO	IV
1063373	EVE	JONES	IV
1066252	EVE	TREE	IV
1063332	EVE	YEE	IV
1065881	EVE	DISNEY	III
1062973	EVE	HAAK	III
1064550	EVE	IMMORDINO	III
1062958	EVE	JONES	III
1064900	EVE	LIM	III
1062641	EVE	PIE	III
1066037	EVE	TREE	III
1062445	EVE	WEST	III
1063312	EVE	YEE	III
1064152	EVE	CHAN	II
1065291	EVE	CHOO	II
1063894	EVE	DISNEY	II
1064158	EVE	IMMORDINO	II
1062420	EVE	JONES	II
1066202	EVE	LESER	II
1063526	EVE	LIM	II
1064151	EVE	LIZ	II
1064741	EVE	LOVELACE	II
1065704	EVE	RA	II
1063641	EVE	ROSE	II
1063707	EVE	TREE	II
1065543	EVE	WEED	II
1062192	EVE	WEST	II
1063891	EVE	ALEXOPOULOS	
1065077	EVE	ALIU	
1064865	EVE	AXT	
1065022	EVE	BIN	
1062766	EVE	BLUEMEL	
1064034	EVE	CALIGURI	
1063863	EVE	CHAN	
1065162	EVE	CHOO	
1062655	EVE	CLEMSON	
1063868	EVE	COCKS	
1062680	EVE	COFFEE	
1063593	EVE	CONNOR	
1063779	EVE	DISNEY	
1064103	EVE	DUKE	
1065816	EVE	DUMOULIN	
1066240	EVE	EMMA	
1066189	EVE	FARTHING	
1064665	EVE	FEAGAN	
1063734	EVE	FRUIT	
1065670	EVE	GONNELLA	
1065376	EVE	GUCCIARDO	
1063747	EVE	ICARD	
1063970	EVE	IMMORDINO	
1063932	EVE	JANE	
1065840	EVE	JESSE	
1065349	EVE	JUNG	
1065069	EVE	LESER	
1062993	EVE	LIM	
1063862	EVE	LIZ	
1064386	EVE	LOVELACE	
1065909	EVE	MAGANA	
1065780	EVE	MARIGLIANO	
1062181	EVE	MARTHA	
1066047	EVE	MISSOURI	
1063486	EVE	NOP	
1063772	EVE	POTTER	
1065985	EVE	PRUIT	
1064428	EVE	RA	
1062444	EVE	ROSS	
1064070	EVE	SALLY	
1063768	EVE	SHIU	
1063515	EVE	SILKEY	
1064263	EVE	SILVER	
1065591	EVE	SJOQUIST	
1064150	EVE	STAR	
1063864	EVE	STARBIRD	
1065490	EVE	THEROUX	
1062279	EVE	THICK	
1062790	EVE	TOOTHAKER	
1063659	EVE	TREE	
1064516	EVE	TRYON	
1065827	EVE	URANGA	
1064688	EVE	WEED	
1066118	EVE	WEEDON	
1066064	EVE	WEETS	
1062318	EVE	WILD	
1063232	EVE	XANDERS	
1063114	EVE	XENAKIS	
1063220	EVE	ZEN

stats made manually, might contain errors or subjective estimations as percentages
this is a day report, which i wont do every day, and just a snapshot, might differ from average days, one day before update so the meta kinda settled
used google sheets to easier view and sorting
used sublime text3 to easier manipulate text (multiple cursors, selection copied for line numbers to count them)
the pictures are showing the end of files with a counter
the list of eves was filtered by players who were named "EVE " then by name then by other things

Opinions?
Is the players attitude bad?
Did i miss anything?

if anyone knows how could i link the names from one text to ids in other text fast, automatically that would help

pein · 2019-04-29 08:32:58

births and deats mapped together
https://www.desmos.com/calculator/afoplg7exm

Last edited by pein (2019-04-29 08:35:01)

wondible · 2019-04-29 15:03:18

pein wrote:

if anyone knows how could i link the names from one text to ids in other text fast, automatically that would help

I added a life export to my Family tree maker. This is a set of Ruby scripts, and in a bit of rough state still, using a bunch of technical stuff such as command line. Let me know where you run into trouble trying to use it.

Roughly you would fetch data

ruby fetch.rb

And then run

ruby -Ilib lives_export.rb

which dumps files into the output directory.

This script is currently set to look at the previous day. You could also look at yesterdays_lives for some lineage tracking code.

jinbaili83 · 2019-04-29 16:36:27

Data in April 28 file was not fully writen when you copied it, I see diferent numbers i.e. there are 13392 births.

YannaChan · 2019-04-29 20:00:28

My eve last name was in here, heheh

It was Chan my friend's eve last name is Liz.

Thaulos · 2019-04-29 23:41:43

It wouldnt be so bad if it was obvious which lineage you were from. I played with three different Jo lineages in 24h or so.

Maybe have FirstName Number LastName Number. As in first child of Eve Jo IV would be Mary Jo IV. If there was another Mary on same lineage then Mary II Jo IV. Not pretty bit then it would be obvious.

And perhaps keep increasing the number for a week or so. Or just let it reset on server restart.

pein · 2019-05-02 05:40:52

i would prefer some SQL method, i could technically do some tablesorter2 stuff , and the data is completely replaceable until the structure is the same
maybe i need to push the lines a bit cause births and deaths got some differences in structure

i just need that part on how to connect ID with the name, technically same every time just woudl be duplicate in other text

jinbaili83 · 2019-05-02 09:24:30

What I do when i work with those files i sort by first column Birth/Death and move deaths to another sheet.

To link data from two files, copy id and names to end of ID column, sort all by ID and rows with names shoud be under maching birth data. Now to copy names to same row as birth data write formula in free column IF(C1=C2;D2) where C1 and C2 are IDs and D2 is Name. Then copy formula down across all rows and copy results as text so it does not change after sorting. Sort by first column again and delete duplicate entries with names.

Maybe someone can write a script or something better than this.

pein · 2019-05-02 16:43:14

1105393	LUCUS HEMINGWAY	ID	hash	age	gender	coord	reason	pop	
1105394	HELENA HEMINGWAY	1105393	a9ea5b1a7f5d3a66e409537ba18fa4e113169172	M	(-31492,-20897)	parent=1105314	pop=83	chain=7	LUCUS HEMINGWAY
1105376	TEKOA IMMORDINO III	1105394	589272c2466f5dfd5ddc4e2aa520c43cd962c04a	F	(-31738,-20562)	parent=1105295	pop=84	chain=16	HELENA HEMINGWAY
1105398	ROSE HEMINGWAY VII	1105389	5bf45de35b51593cd76b2623cd35a16291389f92	age=0.82	M	(-28240,-20040)	hunger	pop=82	#N/A
1105397	ROSE HEMINGWAY VIII	1105395	5bf45de35b51593cd76b2623cd35a16291389f92	M	(-27519,-15891)	parent=1105286	pop=84	chain=2	#N/A
1105401	MAMADY HAAK	1105395	5bf45de35b51593cd76b2623cd35a16291389f92	age=0.14	M	(-27519,-15892)	disconnect	pop=82	#N/A
1105402	SALLY  III	1105095	182051fdc9be0f28036550e964f48c0d4c3df1e0	age=60.00	F	(-34103,-16199)	oldAge	pop=82	#N/A
1105400	RUNA SOM	1105096	616028b2e584724f7ae8e664eb5dfa3c8d247056	age=60.00	F	(-34083,-16189)	oldAge	pop=82	#N/A
1105403	COCO TY	1105396	5bf45de35b51593cd76b2623cd35a16291389f92	M	(-28252,-20041)	parent=1105302	pop=84	chain=5	#N/A
1105405	EVE TOL	1105397	616028b2e584724f7ae8e664eb5dfa3c8d247056	F	(-31497,-20895)	parent=1105239	pop=82	chain=6	ROSE HEMINGWAY VIII
1105406	KAI IMMORDINO III	1105398	182051fdc9be0f28036550e964f48c0d4c3df1e0	F	(-31497,-20895)	parent=1105239	pop=83	chain=6	ROSE HEMINGWAY VII
1105410	DANIEL HEMINGWAY	1105396	5bf45de35b51593cd76b2623cd35a16291389f92	age=0.09	M	(-28253,-20041)	disconnect	pop=82	#N/A
1105414	WOODSON BOOTS	1105399	942252eef6ab95a22a00c2bec4fbb5a0f1502c63	F	(-31492,-20912)	parent=1105283	pop=84	chain=6	#N/A
1105416	SUN BOOTS	1105339	cfd3ee0407633723d70b31c0b2b6d68e89453217	age=8.48	F	(-31601,-20487)	hunger	pop=83	#N/A
1105418	EVE AGA	1105400	5bf45de35b51593cd76b2623cd35a16291389f92	F	(-28312,-15052)	parent=1105391	pop=85	chain=2	RUNA SOM
1105419	ROSE AGA	1105399	942252eef6ab95a22a00c2bec4fbb5a0f1502c63	age=0.12	F	(-31492,-20912)	disconnect	pop=82	#N/A
1105423	KONA HAAK	1105374	a6527922ccb0ff9a35df7425c71a121a52b18846	age=16.63	F	(-28321,-15177)	hunger	pop=82	#N/A
1105420	THUNDER BOOTS	1105401	cfd3ee0407633723d70b31c0b2b6d68e89453217	F	(-31505,-20889)	parent=1105241	pop=84	chain=6	MAMADY HAAK
1105378	LASON II	1105402	d09d1dcc6cc972d670dd89d0ddc79bcc6d02093b	F	(-31706,-20529)	parent=1105220	pop=84	chain=6	SALLY  III
1105424	EVE WANDERS	1105403	942252eef6ab95a22a00c2bec4fbb5a0f1502c63	F	(-27521,-15891)	parent=1105286	pop=85	chain=2	COCO TY
1105427	SAMANTHA BOOTS	1105405	a6527922ccb0ff9a35df7425c71a121a52b18846	F	(-28424,-14882)	noParent	pop=86	chain=1	EVE TOL
1105431	DICKSON HEMINGWAY	1105097	84949a3ebd8323167942dc5691350f7b76fdf817	age=60.00	F	(-34120,-16192)	oldAge	pop=85	#N/A
1105432	MARIA BOOTS	1105247	7998c1e70155ee3fbcde8699c80493a763703d4b	age=29.39	F	(-31709,-20528)	hunger	pop=85	#N/A
1105434	DANY HEMINGWAY	1105406	7998c1e70155ee3fbcde8699c80493a763703d4b	F	(-27886,-15893)	parent=1105336	pop=87	chain=2	KAI IMMORDINO III
1105426	RAINBOW	1105407	be35719cfeac4bc376ba81b2c4dc220916a1c713	M	(-28258,-20042)	parent=1105281	pop=86	chain=5	#N/A
1105435	PEARL AGA	1105407	be35719cfeac4bc376ba81b2c4dc220916a1c713	age=0.06	M	(-28258,-20042)	disconnect	pop=85	#N/A
1105436	BENNY BOOTS	1105408	be35719cfeac4bc376ba81b2c4dc220916a1c713	F	(-34106,-16200)	parent=1105256	pop=87	chain=9	#N/A
1105438	FAIN HEMINGWAY	1105408	be35719cfeac4bc376ba81b2c4dc220916a1c713	age=0.09	F	(-34106,-16200)	disconnect	pop=85	#N/A
1105443	LUKA HEMINGWAY	1105409	be35719cfeac4bc376ba81b2c4dc220916a1c713	M	(-31497,-20895)	parent=1105241	pop=87	chain=6	#N/A
1105442	EVE JO VI	1105409	be35719cfeac4bc376ba81b2c4dc220916a1c713	age=0.06	M	(-31497,-20895)	disconnect	pop=85	#N/A
1105446	PRINCESS JO VI	1105394	589272c2466f5dfd5ddc4e2aa520c43cd962c04a	age=1.86	F	(-31703,-20548)	hunger	pop=85	HELENA HEMINGWAY
1105445	JUNE HEMINGWAY II	1105410	8036901e28b2ca2296523705559dc1c556e515b6	M	(-31708,-20529)	parent=1105250	pop=87	chain=16	DANIEL HEMINGWAY
1105448	EVE BANAS	1105411	be35719cfeac4bc376ba81b2c4dc220916a1c713	M	(-31704,-20529)	parent=1105254	pop=88	chain=15	#N/A
1105449	LUNA HEMINGWAY	1105411	be35719cfeac4bc376ba81b2c4dc220916a1c713	age=0.06	M	(-31704,-20529)	disconnect	pop=85	#N/A
1105450	VENICE HEMINGWAY	1105412	be35719cfeac4bc376ba81b2c4dc220916a1c713	F	(-33109,-16025)	parent=1105318	pop=87	chain=18	#N/A
1105447	MAXDEN HEMINGWAY	1105412	be35719cfeac4bc376ba81b2c4dc220916a1c713	age=0.06	F	(-33109,-16025)	disconnect	pop=85	#N/A
1105456	CLOUD LEGENDRE	1105366	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	age=6.14	M	(-34102,-16167)	hunger	pop=85	#N/A
1105458	WOLF BOOTS	1105413	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	M	(-31496,-20903)	parent=1105241	pop=87	chain=6	#N/A
1105459	EVELYNN HEMINGWAY	1105293	622a4ee9cf28905379af624e17d6a6e6fe4e4f91	age=19.36	M	(-34364,-16207)	hunger	pop=84	#N/A
1105452	PAVEL IMMORDINO	1105413	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	age=0.08	M	(-31496,-20903)	disconnect	pop=84	#N/A
1105460	LINK HEMINGWAY	1105414	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	M	(-34102,-16199)	parent=1105279	pop=85	chain=9	WOODSON BOOTS
1105464	MOON BOOTS II	1105416	c21c4d4ae22cd11fab373b695b43cc75f9915fdb	M	(-28237,-20047)	parent=1105319	pop=86	chain=5	SUN BOOTS
1105461	NOBLE HEMINGWAY	1105405	a6527922ccb0ff9a35df7425c71a121a52b18846	age=15.65	F	(-28495,-15031)	hunger	pop=85	EVE TOL
1105471	STORMIE LEGENDRE	1105417	be35719cfeac4bc376ba81b2c4dc220916a1c713	M	(-27886,-15893)	parent=1105336	pop=87	chain=2	#N/A
1105470	MARS BOOTS	1105106	c06435b1f8a36cfb4f42d9e2ce3f1a5bed052e9b	age=59.37	F	(-34104,-16202)	hunger	pop=86	#N/A
1105474	MARCUS HEMINGWAY	1105418	a6527922ccb0ff9a35df7425c71a121a52b18846	F	(-28641,-14773)	noParent	pop=88	chain=1	EVE AGA
1105465	KYLE HEMINGWAY II	1105417	be35719cfeac4bc376ba81b2c4dc220916a1c713	age=0.08	M	(-27886,-15893)	disconnect	pop=86	#N/A
1105481	JAMES SOM	1105419	be35719cfeac4bc376ba81b2c4dc220916a1c713	F	(-28636,-14777)	parent=1105418	pop=87	chain=2	ROSE AGA
1105489	ILY HEMINGWAY	1105414	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	age=0.52	M	(-34103,-16199)	disconnect	pop=85	WOODSON BOOTS
1105485	SUN FIRE	1105420	c06435b1f8a36cfb4f42d9e2ce3f1a5bed052e9b	F	(-28329,-19953)	parent=1105216	pop=87	chain=4	THUNDER BOOTS
1105484	MOON FIRE	1105421	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	F	(-31566,-20460)	parent=1105295	pop=88	chain=16	#N/A
1105488	GRANGER HEMINGWAY	1105421	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	age=0.05	F	(-31566,-20460)	disconnect	pop=86	#N/A
1105496	CRIS HEMINGWAY	1105422	53aebb7cb3d0e5f69ac8007ad5bb79b136af9c5a	F	(-27886,-15893)	parent=1105336	pop=88	chain=2	#N/A
1105478	STAR FIRE	1105423	0f063498f61b0a97acabce5cd769363d0ac655ec	M	(-31519,-20856)	parent=1105221	pop=88	chain=6	KONA HAAK

yeah found it, actually not a program, just a function
called lookup
the array version still didn't worked somewhy but i can copy the formula all across by dragging
basically will search id in a column or range and if matches, then you copy the second cell next to it

just an example code, ignore the weird tables, i just copied things on top of each other

#N/A when there is no name attached to ID meaning they are nameless

your solution seems good too
but even i na small sample lot of nameless people reach older age

gotta dig out my tablesorter2 script, had his tablesorter which works in jsfiddle with some external jquerry scripts
basically makes every table sortable and filterable, and multiple columns sortable and filterable
so such thing as female ordered by age and reason of death

thundersen · 2019-05-02 18:38:43

Would you guys be interested in a Python script that downloads logs between any two dates and arranges them in a CSV file for easy Excel import?

You would have to install Python, if you're on Windows.

pein · 2019-05-04 07:24:55

https://codepen.io/shampein/full/joNxgR

so basically you can filter on anything in any row
you can use expressions too

one expression for example <3 and killer (start typing hunger or killer or disconnect and will filter it anyway)
now this shows the people who were killed before age 3

havent set up the names like in my previous post so you cant search on it
but you can search on the ID
or the hash, your own or the killer hash or similar
or the first part of coordinates so it's likely same city like 31 and -24 for a city around (31xxx,-24xxx)

a name list is easy to make this way too, but much better using a lookup function and adding it onto other list, maybe display nameless1234567 as a name

you can also order things by clicking column, you can order by multiple things like hash and age same time so will display each hash with oldest age reached first

this is an example form the yesterday records ( deaths from 3rd may)

yet an other example why multiple names are bad, like they got 3 names in practice so i cant put as first and last name
and amy VI is technically Nameless Amy the6th but "VI" would become the family name in auto generated table
but as logn as Ids are the same length, i can press home, arrow until the first space and one TAB to make it into an ID NAME table

im too tired to figure out how to display the number of lines after filtering
like the stats i did last time, basically filter disconnects and the number of tiles would be the number of SID babies

basically i used some french guy table, edited the html part, added the column headers
copied the text from lifelog
in sublime text3 (text editor) you can select a space and press alt+F3 and will select every space
you can then change the spaces to TAB, which is basically what makes the lifelog an excel table
or "," to make it CSV
if you copy that text with TABs, then pasting into excel or google docs makes each field appear on a separate cell
takes a bit of time for huge data but nothing super long

same way would work with this tablesorter, but i made extra edits in google sheets, like cutting out the births from deaths
so i just put the whole table into a html converter
https://www.textfixer.com/html/csv-convert-table.php
which adds <tr><td> at front and </td></tr> at back
and each space becomes </td><td>
but the converter is good enough

basically you could add an empty cell for each birth before the gender, then the coords would be same field and the reason of death and parent same column

One Hour One Life Forums

#1 2019-04-29 08:31:06

All eve names of April 28 2019

#2 2019-04-29 08:32:58

Re: All eve names of April 28 2019

#3 2019-04-29 15:03:18

Re: All eve names of April 28 2019

#4 2019-04-29 16:36:27

Re: All eve names of April 28 2019

#5 2019-04-29 20:00:28

Re: All eve names of April 28 2019

#6 2019-04-29 23:41:43

Re: All eve names of April 28 2019

#7 2019-05-02 05:40:52

Re: All eve names of April 28 2019

#8 2019-05-02 09:24:30

Re: All eve names of April 28 2019

#9 2019-05-02 16:43:14

Re: All eve names of April 28 2019

#10 2019-05-02 18:38:43

Re: All eve names of April 28 2019

#11 2019-05-04 07:24:55

Re: All eve names of April 28 2019

Board footer