Tag

statistics

418 pieces tagged “statistics”, newest first.

  1. 9.7%, plus or minus what? Statistics
  2. mrr_usd: mean 447, median 88 Statistics
  3. 0.7% of signup_date is missing Statistics
  4. Zero is not a small number Data quality
  5. The overall average hides 10 different numbers Analytics practice
  6. A essentially none correlation, and what it is not Statistics
  7. The top of vibration_mm_s is 3.2× the 99th percentile Statistics
  8. 10.3%, plus or minus what? Statistics
  9. Pattern: Cohort retention triangle Analytics practice
  10. We added Anscombe's quartet to the correlation explorer Visualization
  11. Check the blanks before you drop them Statistics
  12. 1,146 zeros in tip_usd, and what they mean Data quality
  13. sessions: mean 3, median 2 Statistics
  14. Before you clip the outliers Statistics
  15. The overall average hides 8 different numbers Analytics practice
  16. A essentially none correlation, and what it is not Statistics
  17. How much statistics do I actually need? Statistics
  18. 9.9%, plus or minus what? Statistics
  19. 57.8% of churned_at is missing Statistics
  20. 5,383 zeros in revenue_usd, and what they mean Data quality
  21. Before you clip the outliers Statistics
  22. The average distance km is not the typical one Statistics
  23. gdp_per_capita_usd by region: a 105% spread Analytics practice
  24. r = 0.51 between distance_km and tip_usd Statistics
  25. My experiment came back flat. Now what? Experimentation
  26. The interval is the result Statistics
  27. Zero is not a small number Data quality
  28. 21.8% of salary_max_usd is missing Statistics
  29. The average tip usd is not the typical one Statistics
  30. The top of bmi is 1.1× the 99th percentile Statistics
  31. revenue_usd by variant: a 48% spread Analytics practice
  32. r = 0.14 between load_mw and temp_c Statistics
  33. 3.0%, plus or minus what? Statistics
  34. 21.8% of salary_min_usd is missing Statistics
  35. arr_delay_min: mean 7, median 2 Statistics
  36. Zero is not a small number Data quality
  37. Before you clip the outliers Statistics
  38. dep_delay_min by carrier: a 85% spread Analytics practice
  39. A essentially none correlation, and what it is not Statistics
  40. How do I explain a confidence interval to a stakeholder? Statistics
  41. Zero is not a small number Data quality
  42. 42.1%, plus or minus what? Statistics
  43. dep_delay_min by origin: a 113% spread Analytics practice
  44. Check the blanks before you drop them Statistics
  45. A essentially none correlation, and what it is not Statistics
  46. first_response_min: mean 155, median 83 Statistics
  47. The top of rpm is 1.1× the 99th percentile Statistics
  48. The interval is the result Statistics
  49. 183 zeros in arr_delay_min, and what they mean Data quality
  50. Check the blanks before you drop them Statistics
  51. fare_usd: mean 22.16, median 14.29 Statistics
  52. Before you clip the outliers Statistics
  53. The overall average hides 4 different numbers Analytics practice
  54. A strong correlation, and what it is not Statistics
  55. The interval is the result Statistics
  56. Zero is not a small number Data quality
  57. The overall average hides 6 different numbers Analytics practice
  58. The average sessions is not the typical one Statistics
  59. 1.6% of pm25 is missing Statistics
  60. Before you clip the outliers Statistics
  61. r = 0.50 between temp_c and solar_mw Statistics
  62. The interval is the result Statistics
  63. Check the blanks before you drop them Statistics
  64. gdp_per_capita_usd: mean 26,959, median 20,761 Statistics
  65. Before you clip the outliers Statistics
  66. first_response_min by channel: a 11% spread Analytics practice
  67. A essentially none correlation, and what it is not Statistics
  68. The interval is the result Statistics
  69. Check the blanks before you drop them Statistics
  70. The average arr delay min is not the typical one Statistics
  71. The top of revenue_usd is 2.8× the 99th percentile Statistics
  72. population by country: a 4,739% spread Analytics practice
  73. A weak correlation, and what it is not Statistics
  74. 2.1%, plus or minus what? Statistics
  75. units: mean 2, median 1 Statistics
  76. 2.1% of arr_delay_min is missing Statistics
  77. The top of temp_c is 1.1× the 99th percentile Statistics
  78. The overall average hides 30 different numbers Analytics practice
  79. r = 0.80 between o3_ppb and temp_c Statistics
  80. revenue_usd: mean 111, median 60 Statistics
  81. Check the blanks before you drop them Statistics
  82. The top of arr_delay_min is 3.1× the 99th percentile Statistics
  83. The overall average hides 5 different numbers Analytics practice
  84. A essentially none correlation, and what it is not Statistics
  85. The average duration min is not the typical one Statistics
  86. Check the blanks before you drop them Statistics
  87. Before you clip the outliers Statistics
  88. The overall average hides 4 different numbers Analytics practice
  89. A essentially none correlation, and what it is not Statistics
  90. Median beside the mean, in short Statistics
  91. 9.9% of week12_score is missing Statistics
  92. The average line no is not the typical one Statistics
  93. Before you clip the outliers Statistics
  94. bmi by arm: a 0% spread Analytics practice
  95. A weak correlation, and what it is not Statistics
  96. The average first response min is not the typical one Statistics
  97. The top of no2_ppb is 1.2× the 99th percentile Statistics
  98. salary_max_usd by city: a 427% spread Analytics practice
  99. A weak correlation, and what it is not Statistics
  100. The average units is not the typical one Statistics
  101. The top of discount_pct is 1.1× the 99th percentile Statistics
  102. seats by plan: a 21,443% spread Analytics practice
  103. A essentially none correlation, and what it is not Statistics
  104. The average fare usd is not the typical one Statistics
  105. The top of baseline_score is 1.1× the 99th percentile Statistics
  106. humidity_pct by status: a 4% spread Analytics practice
  107. r = 0.10 between sched_dep_hour and arr_delay_min Statistics
  108. The average gdp per capita usd is not the typical one Statistics
  109. Before you clip the outliers Statistics
  110. sched_dep_hour by carrier: a 3% spread Analytics practice
  111. A essentially none correlation, and what it is not Statistics
  112. Pattern: Median beside the mean Statistics
  113. The average seats now is not the typical one Statistics
  114. Before you clip the outliers Statistics
  115. dep_delay_min by dest: a 38% spread Analytics practice
  116. A strong correlation, and what it is not Statistics
  117. The average co2 tonnes per capita is not the typical one Statistics
  118. The top of o3_ppb is 1.2× the 99th percentile Statistics
  119. r = -0.00 between vibration_mm_s and rpm Statistics
  120. The overall average hides 3 different numbers Analytics practice
  121. Counting your tests, in short Experimentation
  122. The average surge multiplier is not the typical one Statistics
  123. The top of duration_min is 1.3× the 99th percentile Statistics
  124. discount_pct by country: a 14% spread Analytics practice
  125. r = 0.75 between life_expectancy and co2_tonnes_per_capita Statistics
  126. passengers: mean 2, median 1 Statistics
  127. The top of unit_price_usd is 1.7× the 99th percentile Statistics
  128. discount_pct by category: a 16% spread Analytics practice
  129. r = 0.04 between temp_c and price_eur_mwh Statistics
  130. The CLT does not always save you Statistics
  131. Cohort retention triangle, in short Analytics practice
  132. The average unit price usd is not the typical one Statistics
  133. The top of mrr_usd is 1.6× the 99th percentile Statistics
  134. distance_km by payment_type: a 3% spread Analytics practice
  135. r = 0.72 between load_mw and price_eur_mwh Statistics
  136. dep_delay_min: mean 10, median 5 Statistics
  137. Before you clip the outliers Statistics
  138. The overall average hides 4 different numbers Analytics practice
  139. r = -0.36 between pm10 and o3_ppb Statistics
  140. The average seats is not the typical one Statistics
  141. Before you clip the outliers Statistics
  142. salary_max_usd by seniority: a 162% spread Analytics practice
  143. A essentially none correlation, and what it is not Statistics
  144. distance_km: mean 4.83, median 3.20 Statistics
  145. The top of humidity_pct is 1.1× the 99th percentile Statistics
  146. fare_usd by payment_type: a 4% spread Analytics practice
  147. A strong correlation, and what it is not Statistics
  148. sched_dep_hour by origin: a 4% spread Analytics practice
  149. line_no: mean 2, median 1 Statistics
  150. Before you clip the outliers Statistics
  151. A essentially none correlation, and what it is not Statistics
  152. Pattern: Counting your tests Experimentation
  153. unit_price_usd: mean 72.66, median 48.86 Statistics
  154. The top of temp_c is 1.1× the 99th percentile Statistics
  155. The overall average hides 7 different numbers Analytics practice
  156. r = -0.01 between distance_km and surge_multiplier Statistics
  157. tip_usd: mean 3.13, median 1.96 Statistics
  158. Before you clip the outliers Statistics
  159. The overall average hides 2 different numbers Analytics practice
  160. r = 0.38 between tip_usd and surge_multiplier Statistics
  161. co2_tonnes_per_capita: mean 3.67, median 2.80 Statistics
  162. The top of dep_delay_min is 3.1× the 99th percentile Statistics
  163. The overall average hides 5 different numbers Analytics practice
  164. r = -0.09 between solar_mw and wind_mw Statistics
  165. A proportion with an interval, in short Statistics
  166. The overall average hides 14 different numbers Analytics practice
  167. The average revenue usd is not the typical one Statistics
  168. The top of pm25 is 2.7× the 99th percentile Statistics
  169. r = 0.92 between distance_km and duration_min Statistics
  170. Pattern: A proportion with an interval Statistics
  171. Before you clip the outliers Statistics
  172. seats_now: mean 59, median 8 Statistics
  173. The overall average hides 14 different numbers Analytics practice
  174. r = -0.37 between wind_mw and price_eur_mwh Statistics
  175. A strong correlation, and what it is not Statistics
  176. Before you clip the outliers Statistics
  177. The overall average hides 8 different numbers Analytics practice
  178. Counting your tests, in short Experimentation
  179. CUPED gave us back 40% of our sample size for ten lines of code Experimentation
  180. Before you clip the outliers Statistics
  181. seats_now by industry: a 57% spread Analytics practice
  182. A essentially none correlation, and what it is not Statistics
  183. age by sex: a 1% spread Analytics practice
  184. Before you clip the outliers Statistics
  185. A essentially none correlation, and what it is not Statistics
  186. The top of age is 1.1× the 99th percentile Statistics
  187. Most of our experiments could never have worked Experimentation
  188. The overall average hides 2 different numbers Analytics practice
  189. A weak correlation, and what it is not Statistics
  190. Before you clip the outliers Statistics
  191. salary_min_usd by country: a 379% spread Analytics practice
  192. A moderate correlation, and what it is not Statistics
  193. Difference-in-differences, in short Experimentation
  194. The top of solar_mw is 1.2× the 99th percentile Statistics
  195. The overall average hides 2 different numbers Analytics practice
  196. r = 0.70 between fare_usd and tip_usd Statistics
  197. The overall average hides 5 different numbers Analytics practice
  198. A strong correlation, and what it is not Statistics
  199. The top of temp_c is 1.4× the 99th percentile Statistics
  200. Median beside the mean, in short Statistics
  201. Before you clip the outliers Statistics
  202. mrr_usd by plan: a 13,612% spread Analytics practice
  203. A strong correlation, and what it is not Statistics
  204. Pattern: Difference-in-differences Experimentation
  205. The top of wind_mw is 1.6× the 99th percentile Statistics
  206. The overall average hides 3 different numbers Analytics practice
  207. r = 0.00 between no2_ppb and o3_ppb Statistics
  208. The top of revenue_usd is 3.0× the 99th percentile Statistics
  209. no2_ppb by city: a 129% spread Analytics practice
  210. A weak correlation, and what it is not Statistics
  211. r = 0.19 between year and population Statistics
  212. Before you clip the outliers Statistics
  213. The overall average hides 3 different numbers Analytics practice
  214. The top of salary_min_usd is 1.2× the 99th percentile Statistics
  215. pm10 by city: a 174% spread Analytics practice
  216. A moderate correlation, and what it is not Statistics
  217. Difference-in-differences, in short Experimentation
  218. The top of price_eur_mwh is 1.2× the 99th percentile Statistics
  219. The overall average hides 4 different numbers Analytics practice
  220. A strong correlation, and what it is not Statistics
  221. The overall average hides 6 different numbers Analytics practice
  222. Before you clip the outliers Statistics
  223. A essentially none correlation, and what it is not Statistics
  224. The top of population is 1.1× the 99th percentile Statistics
  225. The overall average hides 5 different numbers Analytics practice
  226. r = 0.53 between fare_usd and surge_multiplier Statistics
  227. The top of co2_tonnes_per_capita is 1.3× the 99th percentile Statistics
  228. gdp_per_capita_usd by country: a 3,670% spread Analytics practice
  229. A moderate correlation, and what it is not Statistics
  230. seats_now by plan: a 25,267% spread Analytics practice
  231. The top of sessions is 2.8× the 99th percentile Statistics
  232. A essentially none correlation, and what it is not Statistics
  233. r = 0.07 between age and bmi Statistics
  234. Before you clip the outliers Statistics
  235. release_year by genre: a 0% spread Analytics practice
  236. The overall average hides 5 different numbers Analytics practice
  237. Before you clip the outliers Statistics
  238. A strong correlation, and what it is not Statistics
  239. Before you clip the outliers Statistics
  240. The overall average hides 4 different numbers Analytics practice
  241. The missing values were the finding Statistics
  242. r = 0.77 between gdp_per_capita_usd and life_expectancy Statistics
  243. fare_usd by borough: a 229% spread Analytics practice
  244. Before you clip the outliers Statistics
  245. A essentially none correlation, and what it is not Statistics
  246. Before you clip the outliers Statistics
  247. sessions by variant: a 2% spread Analytics practice
  248. r = 0.00 between flight_no and sched_dep_hour Statistics
  249. Pattern: Bootstrap any statistic Statistics
  250. The top of week12_score is 1.2× the 99th percentile Statistics
  251. discount_pct by channel: a 280% spread Analytics practice
  252. A moderate correlation, and what it is not Statistics
  253. Before you clip the outliers Statistics
  254. A essentially none correlation, and what it is not Statistics
  255. The top of fare_usd is 2.4× the 99th percentile Statistics
  256. The overall average hides 5 different numbers Analytics practice
  257. r = 0.73 between distance_km and fare_usd Statistics
  258. The overall average hides 3 different numbers Analytics practice
  259. The top of distance_km is 1.7× the 99th percentile Statistics
  260. The overall average hides 6 different numbers Analytics practice
  261. r = 0.03 between humidity_pct and vibration_mm_s Statistics
  262. Before you clip the outliers Statistics
  263. flight_no by origin: a 8% spread Analytics practice
  264. r = 0.00 between temp_c and rpm Statistics
  265. The top of salary_max_usd is 1.2× the 99th percentile Statistics
  266. The overall average hides 2 different numbers Analytics practice
  267. r = 0.56 between duration_min and tip_usd Statistics
  268. Before you clip the outliers Statistics
  269. first_response_min by priority: a 1,095% spread Analytics practice
  270. r = 0.98 between seats and seats_now Statistics
  271. Bootstrap any statistic, in short Statistics
  272. bmi by site: a 3% spread Analytics practice
  273. The top of seats_now is 1.5× the 99th percentile Statistics
  274. r = 0.01 between age and week12_score Statistics
  275. vibration_mm_s by status: a 191% spread Analytics practice
  276. Before you clip the outliers Statistics
  277. r = -0.02 between humidity_pct and rpm Statistics
  278. Before you clip the outliers Statistics
  279. The overall average hides 3 different numbers Analytics practice
  280. r = 0.09 between duration_min and surge_multiplier Statistics
  281. Before you clip the outliers Statistics
  282. We shipped a Simpson's paradox to the exec team Statistics
  283. seats_now by region: a 20% spread Analytics practice
  284. A essentially none correlation, and what it is not Statistics
  285. Before you clip the outliers Statistics
  286. rating by genre: a 16% spread Analytics practice
  287. A essentially none correlation, and what it is not Statistics
  288. The top of gdp_per_capita_usd is 1.4× the 99th percentile Statistics
  289. A proportion with an interval, in short Statistics
  290. The overall average hides 3 different numbers Analytics practice
  291. A weak correlation, and what it is not Statistics
  292. sched_dep_hour by dest: a 8% spread Analytics practice
  293. r = -0.25 between temp_c and wind_mw Statistics
  294. r = 0.11 between sched_dep_hour and dep_delay_min Statistics
  295. seats by industry: a 53% spread Analytics practice
  296. The overall average hides 14 different numbers Analytics practice
  297. A strong correlation, and what it is not Statistics
  298. mrr_usd by region: a 21% spread Analytics practice
  299. r = 0.08 between population and life_expectancy Statistics
  300. The overall average hides 6 different numbers Analytics practice
  301. A essentially none correlation, and what it is not Statistics
  302. baseline_score by site: a 4% spread Analytics practice
  303. r = -0.08 between discount_pct and revenue_usd Statistics
  304. The overall average hides 5 different numbers Analytics practice
  305. r = 0.71 between unit_price_usd and revenue_usd Statistics
  306. The overall average hides 6 different numbers Analytics practice
  307. r = 0.45 between pm10 and no2_ppb Statistics
  308. r = 0.98 between seats and mrr_usd Statistics
  309. sessions by device: a 3% spread Analytics practice
  310. The overall average hides 6 different numbers Analytics practice
  311. A moderate correlation, and what it is not Statistics
  312. The overall average hides 4 different numbers Analytics practice
  313. r = 0.25 between year and gdp_per_capita_usd Statistics
  314. mrr_usd by industry: a 49% spread Analytics practice
  315. A essentially none correlation, and what it is not Statistics
  316. The overall average hides 5 different numbers Analytics practice
  317. r = 0.98 between pm25 and pm10 Statistics
  318. humidity_pct by site: a 0% spread Analytics practice
  319. temp_c by status: a 26% spread Analytics practice
  320. r = 0.94 between gdp_per_capita_usd and co2_tonnes_per_capita Statistics
  321. A essentially none correlation, and what it is not Statistics
  322. salary_max_usd by country: a 379% spread Analytics practice
  323. A weak correlation, and what it is not Statistics
  324. bmi by sex: a 1% spread Analytics practice
  325. r = 1.00 between salary_min_usd and salary_max_usd Statistics
  326. The overall average hides 4 different numbers Analytics practice
  327. r = -0.00 between bmi and week12_score Statistics
  328. The overall average hides 6 different numbers Analytics practice
  329. r = 0.02 between unit_price_usd and discount_pct Statistics
  330. salary_min_usd by seniority: a 162% spread Analytics practice
  331. A moderate correlation, and what it is not Statistics
  332. flight_no by carrier: a 3% spread Analytics practice
  333. A strong correlation, and what it is not Statistics
  334. The overall average hides 3 different numbers Analytics practice
  335. A weak correlation, and what it is not Statistics
  336. The overall average hides 2 different numbers Analytics practice
  337. A essentially none correlation, and what it is not Statistics
  338. The overall average hides 4 different numbers Analytics practice
  339. r = 0.80 between duration_min and fare_usd Statistics
  340. r = -0.01 between bmi and baseline_score Statistics
  341. The overall average hides 3 different numbers Analytics practice
  342. r = 0.01 between dep_delay_min and distance_mi Statistics
  343. The overall average hides 4 different numbers Analytics practice
  344. r = -0.41 between pm25 and temp_c Statistics
  345. The overall average hides 30 different numbers Analytics practice
  346. The overall average hides 4 different numbers Analytics practice
  347. r = -0.05 between population and gdp_per_capita_usd Statistics
  348. A essentially none correlation, and what it is not Statistics
  349. age by arm: a 1% spread Analytics practice
  350. r = -0.01 between sched_dep_hour and distance_mi Statistics
  351. The overall average hides 5 different numbers Analytics practice
  352. r = -0.01 between flight_no and distance_mi Statistics
  353. The overall average hides 8 different numbers Analytics practice
  354. A essentially none correlation, and what it is not Statistics
  355. revenue_usd by device: a 28% spread Analytics practice
  356. r = -0.40 between pm10 and temp_c Statistics
  357. We p-hacked ourselves and caught it in review Experimentation
  358. r = -0.02 between sessions and revenue_usd Statistics
  359. duration_min by borough: a 254% spread Analytics practice
  360. A essentially none correlation, and what it is not Statistics
  361. unit_price_usd by channel: a 6% spread Analytics practice
  362. r = 0.01 between arr_delay_min and distance_mi Statistics
  363. distance_km by borough: a 331% spread Analytics practice
  364. A essentially none correlation, and what it is not Statistics
  365. temp_c by site: a 3% spread Analytics practice
  366. A essentially none correlation, and what it is not Statistics
  367. year by country: a wide spread Analytics practice
  368. A essentially none correlation, and what it is not Statistics
  369. The overall average hides 3 different numbers Analytics practice
  370. A moderate correlation, and what it is not Statistics
  371. revenue_usd by category: a 1,000% spread Analytics practice
  372. r = 0.08 between temp_c and humidity_pct Statistics
  373. r = 0.26 between year and life_expectancy Statistics
  374. vibration_mm_s by site: a 29% spread Analytics practice
  375. A essentially none correlation, and what it is not Statistics
  376. The overall average hides 6 different numbers Analytics practice
  377. A strong correlation, and what it is not Statistics
  378. The overall average hides 30 different numbers Analytics practice
  379. A strong correlation, and what it is not Statistics
  380. The overall average hides 10 different numbers Analytics practice
  381. A essentially none correlation, and what it is not Statistics
  382. The overall average hides 3 different numbers Analytics practice
  383. r = 0.22 between year and co2_tonnes_per_capita Statistics
  384. duration_min by payment_type: a 3% spread Analytics practice
  385. The overall average hides 14 different numbers Analytics practice
  386. population by region: a 63% spread Analytics practice
  387. r = 0.01 between no2_ppb and temp_c Statistics
  388. The overall average hides 4 different numbers Analytics practice
  389. A weak correlation, and what it is not Statistics
  390. The overall average hides 14 different numbers Analytics practice
  391. r = 0.08 between solar_mw and price_eur_mwh Statistics
  392. pm25 by city: a 173% spread Analytics practice
  393. r = 0.00 between flight_no and dep_delay_min Statistics
  394. r = -0.01 between age and baseline_score Statistics
  395. The overall average hides 8 different numbers Analytics practice
  396. A moderate correlation, and what it is not Statistics
  397. The overall average hides 4 different numbers Analytics practice
  398. A essentially none correlation, and what it is not Statistics
  399. revenue_usd by country: a 12% spread Analytics practice
  400. r = -0.36 between pm25 and o3_ppb Statistics
  401. The overall average hides 3 different numbers Analytics practice
  402. The meeting where the median won Statistics
  403. The overall average hides 4 different numbers Analytics practice
  404. A strong correlation, and what it is not Statistics
  405. A strong correlation, and what it is not Statistics
  406. year by region: a wide spread Analytics practice
  407. r = 0.11 between release_year and rating Statistics
  408. baseline_score by arm: a 0% spread Analytics practice
  409. r = 0.96 between dep_delay_min and arr_delay_min Statistics
  410. The overall average hides 8 different numbers Analytics practice
  411. r = 1.00 between seats_now and mrr_usd Statistics
  412. The overall average hides 8 different numbers Analytics practice
  413. r = 0.46 between pm25 and no2_ppb Statistics
  414. The overall average hides 6 different numbers Analytics practice
  415. A essentially none correlation, and what it is not Statistics
  416. A essentially none correlation, and what it is not Statistics
  417. unit_price_usd by category: a 1,012% spread Analytics practice
  418. A moderate correlation, and what it is not Statistics

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