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Kazuhiro MUSASHI 2020-05-17 20:17:51 +09:00 committed by Gitea
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content/labs/jupyter/2020-05-16-summary-of-data-science-class.md
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@ -11,7 +11,13 @@ Categories = ["python", "jupyter"]
## 前提
[【Practice】Boxed Lunch Sales Forecasting | SIGNATE - Data Science Competition](https://signate.jp/competitions/24)で入手できる、以下のような表データを例に取り上げて見ていきます:
<a data-flickr-embed="true" href="https://www.flickr.com/photos/42332031@N02/49901856477/" title="Untitled"><img src="https://live.staticflickr.com/65535/49901856477_5c36c25a40_z.jpg" width="640" height="147" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
| | datetime | y | week | soldout | name | kcal | remarks | event | payday | weather | precipitation | temperature |
|---|------------|-----|------|---------|----------------------|------|---------|-------|--------|---------|---------------|-------------|
| 0 | 2013-11-18 | 90 | 月 | 0 | 厚切りイカフライ | NaN | NaN | NaN | NaN | 快晴 | -- | 19.8 |
| 1 | 2013-11-19 | 101 | 火 | 1 | 手作りヒレカツ | NaN | NaN | NaN | NaN | 快晴 | -- | 17.0 |
| 2 | 2013-11-20 | 118 | 水 | 0 | 白身魚唐揚げ野菜あん | NaN | NaN | NaN | NaN | 快晴 | -- | 15.5 |
| 3 | 2013-11-21 | 120 | 木 | 1 | 若鶏ピリ辛焼 | NaN | NaN | NaN | NaN | 快晴 | -- | 15.2 |
| 4 | 2013-11-22 | 130 | 金 | 1 | ビッグメンチカツ | NaN | NaN | NaN | NaN | 快晴 | -- | 16.1 |
## 基本統計量について
[基本統計量 | トライフィールズ](https://www.trifields.jp/statistical-analysis-basic-statistics-164)によれば、
@ -25,7 +31,16 @@ Categories = ["python", "jupyter"]
### Pandasで出力される基本統計量について
`describe()`を実行すると、以下の要素が出力されます:
<a data-flickr-embed="true" href="https://www.flickr.com/photos/42332031@N02/49901856482/" title="Untitled"><img src="https://live.staticflickr.com/65535/49901856482_b61612ba85_z.jpg" width="640" height="319" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
| | y | soldout | kcal | payday | temperature |
|-------|------------|------------|------------|--------|-------------|
| count | 207.000000 | 207.000000 | 166.000000 | 10.0 | 207.000000 |
| mean | 86.623188 | 0.449275 | 404.409639 | 1.0 | 19.252174 |
| std | 32.882448 | 0.498626 | 29.884641 | 0.0 | 8.611365 |
| min | 29.000000 | 0.000000 | 315.000000 | 1.0 | 1.200000 |
| 25% | 57.000000 | 0.000000 | 386.000000 | 1.0 | 11.550000 |
| 50% | 78.000000 | 0.000000 | 408.500000 | 1.0 | 19.800000 |
| 75% | 113.000000 | 1.000000 | 426.000000 | 1.0 | 26.100000 |
| max | 171.000000 | 1.000000 | 462.000000 | 1.0 | 34.600000 |
ここの要素の説明は以下になります:
@ -72,7 +87,16 @@ Categories = ["python", "jupyter"]
このグラフを見ると、40〜60の値をとっているデータの個数が一番多いということがわかります。注目している列の基本統計量を見ると、このようになっています:
<a data-flickr-embed="true" href="https://www.flickr.com/photos/42332031@N02/49901856442/" title="Untitled"><img src="https://live.staticflickr.com/65535/49901856442_66b5bb48d6_z.jpg" width="640" height="385" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
| Item | Value |
|-------|------------|
| count | 207.00000 |
| mean | 86.623188 |
| std | 32.882448 |
| min | 29.000000 |
| 25% | 57.000000 |
| 50% | 78.000000 |
| 75% | 113.000000 |
| max | 171.000000 |
y軸の合計が207。「平均値±標準偏差」の区間に大体のデータが集約されているので、54〜118の区間に大体のデータが集まっている。平均は86で、中央値は78。