PYTHON MATHEMATICS

For this problem, you will be using the data set customer spending.csv$.$

$($a$)$ Make a histogram of the customer spending amounts.

$($b$)$ Make a new data set that is a log transformation of the customer spending amounts.

$($c$)$ Make a histogram of the log transformed dataset.

$($d$)$ Compare the two histograms. Discuss why it might be useful to apply a log transformation to this data for modeling purposes. Here is the provided data from the excel sheet.

ann$\_$spending

$34112$

$33266$

$36610$

$27381$

$46100$

$26710$

$26465$

$29517$

$18694$

$46662$

$33864$

$21259$

$62889$

$52811$

$53729$

$16961$

$27679$

$20653$

$43180$

$23427$

$32116$

$12775$

$53785$

$110829$

$59390$

$32251$

$17946$

$19227$

$65522$

$50927$

$39777$

$13977$

$27425$

$49415$

$7046$

$22778$

$46962$

$47341$

$44451$

$70746$

$49633$

$35607$

$40499$

$46111$

$32392$

$62834$

$49039$

$192714$

$35720$

$71844$

$15975$

$16472$

$54910$

$29075$

$34698$

$18163$

$82552$

$34729$

$18656$

$24353$

$23905$

$165881$

$29804$

$48640$

$15353$

$92562$

$12630$

$47365$

$23452$

$14044$

$34068$

$64617$

$22594$

$43488$

$29293$

$26923$

$19789$

$67354$

$16572$

$12277$

$12412$

$32419$

$37219$

$27862$

$25143$

$199891$

$150497$

$78649$

$22394$

$41145$

$17415$

$28483$

$95972$

$54244$

$34657$

$10547$

$14993$

$2158$

$2476$

$19926$

$45833$

$38694$

$25588$

$90498$

$23052$

$22998$

$27289$

$47207$

$20897$

$48633$

$19252$

$50043$

$36329$

$23832$

$25063$

$18516$

$19098$

$19376$

$30989$

$17546$

$25499$

$11666$

$15534$

$35066$

$47561$

$105046$

$31744$

$45408$

$14017$

$48695$

$17898$

$3730$

$21273$

$12799$

$12748$

$11875$

$28798$

$20867$

$26503$

$16100$

$35063$

$50642$

$55459$

$22239$

$25327$

$82278$

$13401$

$18177$

$11819$

$37249$

$21905$

$9199$

$26883$

$17789$

$904$

$46102$

$34169$

$26220$

$25665$

$31519$

$25603$

$16585$

$24518$

$64666$

$27863$

$62038$

$30316$

$12167$

$9248$

$11504$

$30819$

$61552$

$16850$

$39485$

$10845$

$28007$

$68264$

$29025$

$24689$

$17460$

$31857$

$190169$

$27251$

$185683$

$6374$

$18243$

$9530$

$29990$

$37367$

$30091$

$32681$

$16317$

$10364$

$31200$

$13396$

$37365$

$65080$

$26824$

$25480$

$15331$

$54065$

$63056$

$58383$

$4925$

$10789$

$47344$

$9554$

$21749$

$17169$

$49127$

$26000$

$107155$

$13671$

$23285$

$27938$

$38699$

$69778$

$25385$

$35181$

$8434$

$19606$

$28042$

$17139$

$18342$

$10945$

$22287$

$41795$

$11047$

$8933$

$22422$

$34089$

$20345$

$33336$

$10617$

$29287$

$13771$

$15454$

$29000$

$9823$

$62163$

$47041$

$32880$

$26715$

$24546$

$31090$

$35079$

$15907$

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