mugen_edamame: (Default)
[personal profile] mugen_edamame
 3 calons told to make a program work

type a -> i tried and made something but it didn't work   aogaku type

type b -> man idk wtf going on sorry    jouchi type

type c -> yesterday i seduced a TA into helping me make it work, and work it does     sfc type

Type C is the one who got hired, because by hook or by crook she got results. The most important thing in a business is getting results.

--
よろしおすなあ

means ダメ
or それはよかったですね、私に関係ないけど



data, discrete elements -> information, linked elements  -> knowledge, organised information  ->  wisdom, applied knowledge

なんとためにそれをやtってるの、って

the beer and diapers syndrome
often bought together
but what do you want to hear from the data, and for what purpose

always thinks
だから、何

--すると、__円 儲かる (もうかる)
if i do A, i will reap B yens

You found some sort of relationship. What should you do (A) to get a result (B)



STEP ONE
data -> information


---

to show 割合 use pie chart


when comparing differences, bar charts

how things change w time, line graphs

countifs???

----
傾向を数にする
1) 分析対象を決める
females vs males or what

what you need for 傾向を数にする
1) 目的変数 , the outcome
望ましさを具体的に定義
sales, effectivenes, etc
 
2) 解析単位   outcome を構成する単位
望ましさを比べる単位
お客様、曜日、属性、商品etc

3) 説明変数
Outcomeを分析するのに必要なもの
属性、行動、心理特性
something that explains why outcomes are the way they are


What's More
-you get weather data, should we umbrella or not
- what do we do to increase sales etc

1. 最大化、最小化 が成果につながること
満足度や高感度 is 説明変数
売上 is 目的変数





2.変化させることが難しくないこと  ur suggestion to create desired outcome MUST NOT BE FUCKING DUMB
x 周辺住民の人口を増やす eg to increase sales at shop INCREASE POPULATION OF PEOPLE AROUND U
xアラブの王様に買い物に来てもらう


量的データとは
足し算、引き算ができるデータ
frequency, age, weight etc. shit written w numbers

質的データとは
足し算引き算できないデータ
gender, job, address etc

あやふや
高感度、成績、世代

ーー

things we will do next week

T検定・回帰分析によってわかること
dummy 変数 where numbers stand in for values

regression analysis is a statistical process for estimating the relationships among variables 回帰分析



Profile

mugen_edamame: (Default)
Yu, or Mu

September 2015

S M T W T F S
  12345
6789101112
13141516171819
20212223242526
2728 29 30   

Most Popular Tags

Style Credit

Expand Cut Tags

No cut tags