subplot-grid · pygal · anyplot.ai

Monthly Revenue ($K)120120130130140140150150160160170170180180190190200200210210220220230230240240JanFebMarAprMayJunJulAugSepOctNovDecMonthly Revenue ($K)MonthRevenue ($K)12039.8538461538461561031.7692307692307Jan135221.0076923076923913.2295673076923Feb128402.16153846153844968.5480769230769Mar145583.3153846153846834.203125Apr162764.4692307692309699.8581730769231May158945.623076923077731.46875Jun1751126.776923076923597.1237980769231Jul1891307.9307692307693486.4867788461539Aug1951489.0846153846155439.07091346153857Sep2101670.2384615384617320.5312500000001Oct2251851.3923076923077201.99158653846155Nov2482032.546153846153620.230769230769283Dec
Sales by Category ($K)001010202030304040ElectronicsApparelHomeSportsBooks45.2238.33846153846153511.0Electronics32.8635.5692307692307645.7940776038122Apparel28.51032.8692.5371851599728Home19.71430.0307692307695788.197498298162Sports15.31827.2615384615387836.0276548672566BooksSales by Category ($K)CategorySales ($K)
Ad Spend vs Return on Investment001122334455661010202030304040Ad Spend vs Return on InvestmentAd Spend ($K)ROI (%)21.85430535: 0.8960262756789.4766944159396878.81593030616747.78214379: 6.2974042822009.172873338807220.23076923076928337.93972738: 3.6518092511546.1663751095584440.765794422225231.93963179: 3.395215191263.9101552411162481.5531366280978312.02083882: 0.53994074326.8912159678485935.418107856052112.01975342: 4.220787687326.840156406272350.32286647755217.613762548: 0.8934056686119.57373742179429879.232493323168743.97792656: 3.6907847941830.2150620979842434.5703711999576632.05017553: 5.0798384321269.1103487349626213.7710048281148836.863266: 2.5923264451495.5275285350763609.17767271480175.926302243: 1.02445166240.19230769230771858.401856222503648.64594335: 2.8980080162049.8076923076924560.587542508573542.45991884: 3.1029111871758.8050128329387528.016812970825414.55525998: 2.041923051446.11533920112817696.667973495035513.18212352: 2.689554693381.5203174207463593.722592423842113.25320294: 1.847436775384.86403217188507727.582867955632518.69090093: 2.069435688640.6639699697147692.294655837181228.61403942: 2.9820291871107.4677927167522547.231815313804224.43752584: 0.7147201151910.9964334853148907.635757182227418.10531131: 1.092871044613.1166898993039847.526137709900632.53338026: 3.2130474751291.8412435270752510.509913336433911.27722373: 2.938950187291.91010920714683554.079510588630718.14650918: 2.693008536615.0547184412449593.173580893602521.48628295: -0.06620627926772.16420166927781031.769230769230725.52314929: 3.548903869962.0662817422384457.123293176707940.33291826: 4.2623267711658.7467500574496343.71995119222813.9853202: 0.6628554232419.30425822248276915.879996858255328.14054973: 4.2943804011085.1939123513332338.6248123463170731.6586556: 5.3455379561250.692486279187171.53628836065327.090268572: 2.24775240794.94755800955048663.9500206923244
Daily Order Volume Distribution00101020203030404050506060606080801001001201201401401601601801802002002202202402402602602802802: 50106.953846153846141017.10925306577473: 65.65637348240.646153846153821009.779264214046910: 81.31274696374.3384615384615958.469342251950927: 96.96912043508.0307692307691833.859531772575252: 112.6254939641.7230769230766650.609810479375653: 128.2818674775.4153846153845643.279821627647669: 143.9382409909.1076923076922526.065: 159.59461431042.7999999999997555.31995540691243: 175.25098781176.4923076923073716.579710144927522: 190.90736131310.184615384615870.50947603121528: 206.56373481443.8769230769228973.12931995540689: 222.22010831577.5692307692307965.79933110367891: 237.87648171711.26153846153831024.43924191750280: 253.53285521844.9538461538461031.76923076923071: 269.18922871978.64615384615351024.4392419175028Daily Order Volume DistributionOrders per DayFrequency