Kushandisa Matanho Ekubatanidza: Hunhu uye Mashandisirwo
Kuyera kwetsika yepakati ipfungwa huru muhuwandu hunoreva seti yetsika dzinoratidza pakati peseti yedata. Chinangwa chadzo ndechekupa pfupiso yetsika dzinowanikwa kakawanda kana pakati pekugoverwa kwedata. Kuyera kwetsika yepakati kwakakosha mukuongorora nekutsvaga data nekuti kunotibvumira kuona mufananidzo wakajairika weseti yedata pasina kukundwa netsika dzakanyanyisa kana kuti zvinhu zvisingawanzoitiki. Muchinyorwa chino, tichakurukura zviyero zvakasiyana-siyana zvetsika yepakati—pakati, pakati, uye modhi—uye kushandiswa kwazvo mumamiriro akasiyana-siyana.
1. Avhareji (Avhareji)
Avhareji, kana kuti arithmetic avhareji, ndeimwe yezviyero zvinonyanya kushandiswa zvepakati. Inoverengerwa nekuwedzera ma values ese ari mu data set uye kupatsanurwa nenhamba yema values. Fomura yacho ndeiyi inotevera:
\[ \text{Mean} = \frac{\Sigma x_i}{N} \]
Di mana:
– \( \Sigma \) chiratidzo chekuwedzera.
– \( x_i \) ndiwo manhamba ega ega ari mudata set.
– \( N \) ndiyo huwandu hwese hwezviyero zviri mudata set.
Mashandisirwo uye Mabhenefiti eAvhareji
Avhareji inonyanya kubatsira kana data richiwanzogoverwa (muchimiro chebell curve) nekuti rinopa pfungwa yakanaka yepakati pedata. Semuenzaniso, mukuongorora kwemari, avhareji inoshandiswa kuverenga avhareji yemari inowanikwa, mitengo yemasheya, kana kutengesa.
Avhareji ndiyo hwaro hwekuongorora kwakawanda kwehuwandu hwehuwandu, hwakadai sevariance uye standard deviation, iyo inoyera kupararira kwedata. Variance inoverengerwa nekutarisa kuti kukosha kwega kwega mu data set kuri kure sei neavhareji, nepo standard deviation iri square root yevariance.
Zvishoma Nezvishoma
Zvisinei, avhareji ine miganhu. Inonyanya kunzwisiswa nezvinhu zvisingawanzoitiki kana kuti zvakanyanyisa kukosha. Semuenzaniso, kana tikaverenga avhareji yemari inowanikwa muguta diki rine mabhiriyoni akawanda, avhareji yacho ichawedzera zvisingaenzaniswi, isingachamiriri mari inowanikwa nevagari vazhinji veguta.
2. MuMedhia
Mupakati ndiwo mutengo wepakati uri mu data rakarongeka. Kuti uverenge mupakati, data rinofanira kurongwa kubva padiki kusvika pakuru. Kana nhamba yemitengo isingawanzoonekwi, mupakati ndiwo mutengo wepakati chaiwo. Kana nhamba yacho yakaenzana, mupakati ndiwo avhareji yemitengo miviri yepakati.
Mashandisirwo epakati uye Mabhenefiti
Mutsetse wepakati unowanzo shandiswa mumamiriro ezvinhu apo kugoverwa kwedata kusina kuenzana kana kuti kune zvinhu zvisingaenzaniswi. Semuenzaniso, mukuongorora mari inowanikwa kana mutengo weimba, mutsetse wepakati unopa mufananidzo wakarurama kupfuura avhareji nekuti haunyanyi kukanganiswa nemitengo yakanyanyisa.
Mutsetse wepakati unokoshawo mukuongorora data repakati, uko data rinoratidzwa muzvikamu zvinorongeka. Semuenzaniso, muongororo yekugutsikana kwevatengi, mutsetse wepakati unogona kushandiswa kuona huwandu hwekugutsikana kweboka revanhu vakapindura.
Kuganhurirwa kwepakati
Kunyange zvazvo iri yakasimba zvikuru kana ichienzaniswa neasingawanikwe, iyo median haishandisi ruzivo rwese rwuri mudataset. Inongotarisa kukosha kwepakati chete, saka rumwe ruzivo rwakakosha runogona kuregeredzwa.
3. Maitiro
Iyo modhi ndiyo kukosha kunowanzoonekwa mu data set. Dataset inogona kuva nemodhi dzinopfuura imwe chete kana ma values akawanda achionekwa ane frequency yakaenzana.
Mashandisirwo uye Mabhenefiti eMode
Nzira yekutarisa data inonyanya kubatsira mukuongorora data remazita kana remapoka, uko data rinoiswa muzvikamu zvisina kurongeka. Semuenzaniso, mukuongorora zvinodiwa nevatengi, nzira inogona kushandiswa kuona mhando dzinonyanya kufarirwa pakati pevatengi.
Nzira inogona kushandiswawo mumamiriro ezvinhu apo tinofarira kuwanda kana kufarirwa kwechinhu. Muenzaniso uri mukuongorora mamakisi ebvunzo, apo nzira inogona kuratidza mamakisi anowanikwa kakawanda nevadzidzi.
Miganhu yeModhi
Modhi iyi ingasapa ruzivo rwakakosha kana zvese kana kuti zvakawanda zvezviyero zviri mudhatabhesi zvakasiyana. Uyezve, mumadhatabhesi anoenderera mberi, modhi iyi ingasave yakajeka nguva dzose kana kuti iri nyore kuziva.
Kusanganiswa kweZviyero zveCentralization
Muzviitiko zvakawanda, chiyero chimwe chete chetsika yepakati hachina kukwana kupa mufananidzo wakakwana wedata. Nokudaro, chiyero chinopfuura chimwe chetsika yepakati chinowanzo shandiswa panguva imwe chete. Semuenzaniso, mumashoko emari, mean, median, uye mode zvese zvinogona kushandiswa kupa kunzwisisa kwakazara kwekugoverwa kwemari inowanikwa, mari inoshandiswa, kana mitengo yemasheya.
Mhedziso
Kuyera mafambiro epakati zvishandiso zvakakosha muhuwandu hunotibatsira kunzwisisa hunhu hwepasi uye mapatani museti yedata. Avhareji inopa tarisiro nekupfupisa huwandu hwese, iyo median inopa mufananidzo wepakati peseti yedata isingakanganiswe neasingashandiswi neasingashandiswi, uye modhi inoratidza kukosha kunowanzoitika. Kushandiswa kwakakodzera kwechiyero chega chega chemaitiro epakati kunoenderana nehunhu hweseti yedata nechinangwa chekuongorora.
Kubva pakutsvagurudza kwesainzi kusvika pakuongorora zvemari kusvika pakuongorora magariro evanhu, zviyero zvetsika dzepakati zvinoita basa rakakosha mukuita kuti data rakaoma rive ruzivo rwunonzwisisika uye runogoneka kududzirwa. Nekunzwisisa simba nemiganhu yechiyero chega chega chetsika dzepakati, tinogona kusarudza nzira yakakodzera kwazvo yezvinangwa nemamiriro ekuongorora kwedu, zvichikonzera kunzwisisa kwakarurama uye kune zvakunoreva.
