{
  "id": 310496,
  "title": "Scale of the price column",
  "url": "/competitions/h-and-m-personalized-fashion-recommendations/discussion/310496",
  "author_name": "",
  "post_date": "2022-03-01T15:53:01.651763100Z",
  "votes": 75,
  "comment_count": 9,
  "views": 0,
  "content": "<p>I think the prices might have been divided by 590. Look at the most frequent prices for the Jade Skinny Jeans (<code>article_id==706016001</code>) when multiplied with 590:</p>\n<table>\n<thead>\n<tr>\n<th>price*590</th>\n<th>count</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>14.39</td>\n<td>500</td>\n</tr>\n<tr>\n<td>14.99</td>\n<td>425</td>\n</tr>\n<tr>\n<td>15.99</td>\n<td>3,510</td>\n</tr>\n<tr>\n<td>16.99</td>\n<td>928</td>\n</tr>\n<tr>\n<td>17.99</td>\n<td>3,136</td>\n</tr>\n<tr>\n<td>18.00</td>\n<td>128</td>\n</tr>\n<tr>\n<td>18.39</td>\n<td>124</td>\n</tr>\n<tr>\n<td>18.66</td>\n<td>155</td>\n</tr>\n<tr>\n<td>18.99</td>\n<td>232</td>\n</tr>\n<tr>\n<td>19.99</td>\n<td>34,760</td>\n</tr>\n</tbody>\n</table>\n<p>And the standard price for this jeans is 19.99 in <a href=\"https://www2.hm.com/de_de/productpage.0706016001.html\" target=\"_blank\">H&amp;M's online store</a>.</p>\n<p>Most frequent prices over all transactions also look reasonable:</p>\n<table>\n<thead>\n<tr>\n<th>price*590</th>\n<th>count</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>4.99</td>\n<td>1,074,468</td>\n</tr>\n<tr>\n<td>7.99</td>\n<td>1,497,769</td>\n</tr>\n<tr>\n<td>9.99</td>\n<td>3,416,921</td>\n</tr>\n<tr>\n<td>12.99</td>\n<td>1,287,249</td>\n</tr>\n<tr>\n<td>14.99</td>\n<td>3,266,926</td>\n</tr>\n<tr>\n<td>17.99</td>\n<td>1,221,011</td>\n</tr>\n<tr>\n<td>19.99</td>\n<td>3,406,538</td>\n</tr>\n<tr>\n<td>24.99</td>\n<td>1,485,660</td>\n</tr>\n<tr>\n<td>29.99</td>\n<td>1,494,130</td>\n</tr>\n</tbody>\n</table>",
  "messages": [
    {
      "id": "1708666",
      "postDate": "03/01/2022 15:53:01",
      "content": "<p>I think the prices might have been divided by 590. Look at the most frequent prices for the Jade Skinny Jeans (<code>article_id==706016001</code>) when multiplied with 590:</p>\n<table>\n<thead>\n<tr>\n<th>price*590</th>\n<th>count</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>14.39</td>\n<td>500</td>\n</tr>\n<tr>\n<td>14.99</td>\n<td>425</td>\n</tr>\n<tr>\n<td>15.99</td>\n<td>3,510</td>\n</tr>\n<tr>\n<td>16.99</td>\n<td>928</td>\n</tr>\n<tr>\n<td>17.99</td>\n<td>3,136</td>\n</tr>\n<tr>\n<td>18.00</td>\n<td>128</td>\n</tr>\n<tr>\n<td>18.39</td>\n<td>124</td>\n</tr>\n<tr>\n<td>18.66</td>\n<td>155</td>\n</tr>\n<tr>\n<td>18.99</td>\n<td>232</td>\n</tr>\n<tr>\n<td>19.99</td>\n<td>34,760</td>\n</tr>\n</tbody>\n</table>\n<p>And the standard price for this jeans is 19.99 in <a href=\"https://www2.hm.com/de_de/productpage.0706016001.html\" target=\"_blank\">H&amp;M's online store</a>.</p>\n<p>Most frequent prices over all transactions also look reasonable:</p>\n<table>\n<thead>\n<tr>\n<th>price*590</th>\n<th>count</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>4.99</td>\n<td>1,074,468</td>\n</tr>\n<tr>\n<td>7.99</td>\n<td>1,497,769</td>\n</tr>\n<tr>\n<td>9.99</td>\n<td>3,416,921</td>\n</tr>\n<tr>\n<td>12.99</td>\n<td>1,287,249</td>\n</tr>\n<tr>\n<td>14.99</td>\n<td>3,266,926</td>\n</tr>\n<tr>\n<td>17.99</td>\n<td>1,221,011</td>\n</tr>\n<tr>\n<td>19.99</td>\n<td>3,406,538</td>\n</tr>\n<tr>\n<td>24.99</td>\n<td>1,485,660</td>\n</tr>\n<tr>\n<td>29.99</td>\n<td>1,494,130</td>\n</tr>\n</tbody>\n</table>",
      "rawMarkdown": "I think the prices might have been divided by 590. Look at the most frequent prices for the Jade Skinny Jeans (`article_id==706016001`) when multiplied with 590:\n\n| price*590 | count |\n| --: | --: |\n|14.39 | 500 |\n|14.99 | 425 |\n|15.99 | 3,510 |\n|16.99 | 928 |\n|17.99 | 3,136 |\n|18.00 | 128 |\n|18.39 | 124 |\n|18.66 | 155 |\n|18.99 | 232 |\n|19.99 | 34,760 |\n\nAnd the standard price for this jeans is 19.99 in [H&M's online store](https://www2.hm.com/de_de/productpage.0706016001.html).\n\nMost frequent prices over all transactions also look reasonable:\n\n| price*590 | count |\n| --: | --: |\n|4.99 | 1,074,468 |\n|7.99 | 1,497,769 |\n|9.99 | 3,416,921 |\n|12.99 | 1,287,249 |\n|14.99 | 3,266,926 |\n|17.99 | 1,221,011 |\n|19.99 | 3,406,538 |\n|24.99 | 1,485,660 |\n|29.99 | 1,494,130 |",
      "votes": null
    },
    {
      "id": "1709991",
      "postDate": "03/02/2022 16:58:58",
      "content": "<p>Just for the record, if it is of interest, how I determined the factor:</p>\n<pre><code>from fractions import Fraction\nsmallest_price_diff = min(np.diff(np.sort(sales.price.unique())))\nFraction(smallest_price_diff).limit_denominator()\n</code></pre>",
      "rawMarkdown": "Just for the record, if it is of interest, how I determined the factor:\n\n```\nfrom fractions import Fraction\nsmallest_price_diff = min(np.diff(np.sort(sales.price.unique())))\nFraction(smallest_price_diff).limit_denominator()\n```",
      "votes": null
    },
    {
      "id": "1710063",
      "postDate": "03/02/2022 17:59:10",
      "content": "<p>Great work!! Now to crack the hashing algo and get the postcodes!</p>",
      "rawMarkdown": "Great work!! Now to crack the hashing algo and get the postcodes!",
      "votes": null
    },
    {
      "id": "1710347",
      "postDate": "03/03/2022 00:58:10",
      "content": "<p>Great finding, thanks </p>",
      "rawMarkdown": "Great finding, thanks",
      "votes": null
    },
    {
      "id": "1711863",
      "postDate": "03/04/2022 11:40:17",
      "content": "<p>Oh this is awesome, thanks!! </p>\n<p>I arbitrarily multiplied by 1000, just because at least the scale makes sense (albeit on a quite expensive end :D). Socks for 13$.. hmm yeah expensive but at least the magnitude are reasonable. But at $7 using the 590 above it makes more sense for sure :D. <br>\n<a href=\"https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis\" target=\"_blank\">Notebook reference</a></p>\n<p><img src=\"https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..zfMnDJuFTn4gRv38r0QyFw.Bukr6iGWV2bz-2lIT-d3gRnG5L61ENjIWv1eSEoHlv0TbqtGYSiwe4bCIIe_FfVCEJh02rc5aKWtT5pr8QfJtSmj2IvvBsX87AcVLpE-e6X4dtxeatmooRiAxibpHWxyUmFm1QkI4aRR2WhQZarc8ZdNZPso9OTqXW1C9pdyVp2bA3kJXh24G1UcrYr6T-6LDeaYlLkXOsgrBqAhpaLkAtO8usxYkI7vRgfW4oz8ndG_69hygfKc2sXjF1MRjhfrw1MTxypem9wpJzBCuIz3zR_3k0IIAWkIi65CBRCAK_-WKWyeB3cb8vEbS1oZB_uybnDKXUNra3E64Oxl28sfUSP0mnojv4hCDJn5BLJTITtYPz8xxyM2SThstwoeY_7fYmLQK7toXsek6b9GPq_qUvo9sG9SZJ_fiQW66YfUDC3wq4pYYSWiTAxnlqIt4gLLlqCLBtCiriyrasjHRUQ5JbUwqtnonaBwX4gIXFOQLeKhYR0dbudXOqaDr2sl-Nmjtv2IEtzqB2WTFVp2vbtr_AyTTD95xzgu8HE_JpM1BuJdEhdJX4PQdmuoUlkeJYiAxw16oRslFljkwGXjjOHVNYNboC8YzFQP9cAP7lD9tNaENQXpHL9oGptMZah5BXlVbIgUIx3T8FLncfptBs-vCErQDnae7AJoFXfxqkfcPQGinaKfNx7zfMFeX_LCd19r.OGoHN5pCLZQ1na_jCoCNiQ/__results___files/__results___31_9.png\" alt=\"\"></p>",
      "rawMarkdown": "Oh this is awesome, thanks!! \n\nI arbitrarily multiplied by 1000, just because at least the scale makes sense (albeit on a quite expensive end :D). Socks for 13$.. hmm yeah expensive but at least the magnitude are reasonable. But at $7 using the 590 above it makes more sense for sure :D. \n[Notebook reference](https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis)\n\n![](https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..zfMnDJuFTn4gRv38r0QyFw.Bukr6iGWV2bz-2lIT-d3gRnG5L61ENjIWv1eSEoHlv0TbqtGYSiwe4bCIIe_FfVCEJh02rc5aKWtT5pr8QfJtSmj2IvvBsX87AcVLpE-e6X4dtxeatmooRiAxibpHWxyUmFm1QkI4aRR2WhQZarc8ZdNZPso9OTqXW1C9pdyVp2bA3kJXh24G1UcrYr6T-6LDeaYlLkXOsgrBqAhpaLkAtO8usxYkI7vRgfW4oz8ndG_69hygfKc2sXjF1MRjhfrw1MTxypem9wpJzBCuIz3zR_3k0IIAWkIi65CBRCAK_-WKWyeB3cb8vEbS1oZB_uybnDKXUNra3E64Oxl28sfUSP0mnojv4hCDJn5BLJTITtYPz8xxyM2SThstwoeY_7fYmLQK7toXsek6b9GPq_qUvo9sG9SZJ_fiQW66YfUDC3wq4pYYSWiTAxnlqIt4gLLlqCLBtCiriyrasjHRUQ5JbUwqtnonaBwX4gIXFOQLeKhYR0dbudXOqaDr2sl-Nmjtv2IEtzqB2WTFVp2vbtr_AyTTD95xzgu8HE_JpM1BuJdEhdJX4PQdmuoUlkeJYiAxw16oRslFljkwGXjjOHVNYNboC8YzFQP9cAP7lD9tNaENQXpHL9oGptMZah5BXlVbIgUIx3T8FLncfptBs-vCErQDnae7AJoFXfxqkfcPQGinaKfNx7zfMFeX_LCd19r.OGoHN5pCLZQ1na_jCoCNiQ/__results___files/__results___31_9.png)",
      "votes": null
    },
    {
      "id": "1712155",
      "postDate": "03/04/2022 16:37:24",
      "content": "<p>Great!!! Would you recommend using the new price? Or continue with the current one?</p>\n<p>I would say that they don't matter as much but it really can help us to understand better customer behaviour (seeing how much do they really spend).</p>",
      "rawMarkdown": "Great!!! Would you recommend using the new price? Or continue with the current one?\n\nI would say that they don't matter as much but it really can help us to understand better customer behaviour (seeing how much do they really spend).",
      "votes": null
    },
    {
      "id": "1713077",
      "postDate": "03/05/2022 16:47:15",
      "content": "<p>I think the rescaled price mostly matters for EDA.  It's just easier to associate attributes like \"cheap\", \"spends a lot\" or \"expensive\" when you know the price in your local currency. I think the rescaled price (*590) is in Euro, but I'm not 100% sure. If Euro is not your local currency, I recommend you check the prices at H&amp;M for your currency and rescale accordingly.</p>",
      "rawMarkdown": "I think the rescaled price mostly matters for EDA.  It's just easier to associate attributes like \"cheap\", \"spends a lot\" or \"expensive\" when you know the price in your local currency. I think the rescaled price (*590) is in Euro, but I'm not 100% sure. If Euro is not your local currency, I recommend you check the prices at H&M for your currency and rescale accordingly.",
      "votes": null
    },
    {
      "id": "1717860",
      "postDate": "03/10/2022 09:32:40",
      "content": "<p>Great finding!! <br>\nI checked the prices and images of the top 3 selling articles against those on the actual site to make sure that this scaling is more reliable.<br>\nAs a result, the top two (article_id=706016001,706016002) matched the price with its similar products, and the third article (article_id=372860001) matched both the image and price on <a href=\"https://www2.hm.com/de_de/productpage.0372860001.html\" target=\"_blank\">the site</a>. This result supports that your approach is more reliable.<br>\nThanks!</p>",
      "rawMarkdown": "Great finding!! \nI checked the prices and images of the top 3 selling articles against those on the actual site to make sure that this scaling is more reliable.\nAs a result, the top two (article_id=706016001,706016002) matched the price with its similar products, and the third article (article_id=372860001) matched both the image and price on [the site](https://www2.hm.com/de_de/productpage.0372860001.html). This result supports that your approach is more reliable.\nThanks!",
      "votes": null
    },
    {
      "id": "1718188",
      "postDate": "03/10/2022 15:30:14",
      "content": "<p>Nice!</p>\n<p>After applying your scaling factor the cheapest transaction becomes $0.01 and the most expensive transaction becomes $349. Both of them seem reasonable, and the scaled values are much more intuitive than the raw ones.</p>\n<p>Thanks for the help!</p>",
      "rawMarkdown": "Nice!\n\nAfter applying your scaling factor the cheapest transaction becomes $0.01 and the most expensive transaction becomes $349. Both of them seem reasonable, and the scaled values are much more intuitive than the raw ones.\n\nThanks for the help!",
      "votes": null
    },
    {
      "id": "1749205",
      "postDate": "04/08/2022 10:46:00",
      "content": "<p>Thanks for sharing.</p>",
      "rawMarkdown": "Thanks for sharing.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1709991,
      "author_name": "tbierhance",
      "author_url": "",
      "post_date": "03/02/2022 16:58:58",
      "content": "<p>Just for the record, if it is of interest, how I determined the factor:</p>\n<pre><code>from fractions import Fraction\nsmallest_price_diff = min(np.diff(np.sort(sales.price.unique())))\nFraction(smallest_price_diff).limit_denominator()\n</code></pre>",
      "votes": null,
      "replies": [
        {
          "id": 1749205,
          "author_name": "devanshchowdhury",
          "author_url": "",
          "post_date": "04/08/2022 10:46:00",
          "content": "<p>Thanks for sharing.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1710063,
      "author_name": "jakelj",
      "author_url": "",
      "post_date": "03/02/2022 17:59:10",
      "content": "<p>Great work!! Now to crack the hashing algo and get the postcodes!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1710347,
      "author_name": "hervind",
      "author_url": "",
      "post_date": "03/03/2022 00:58:10",
      "content": "<p>Great finding, thanks </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1711863,
      "author_name": "aussie84",
      "author_url": "",
      "post_date": "03/04/2022 11:40:17",
      "content": "<p>Oh this is awesome, thanks!! </p>\n<p>I arbitrarily multiplied by 1000, just because at least the scale makes sense (albeit on a quite expensive end :D). Socks for 13$.. hmm yeah expensive but at least the magnitude are reasonable. But at $7 using the 590 above it makes more sense for sure :D. <br>\n<a href=\"https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis\" target=\"_blank\">Notebook reference</a></p>\n<p><img src=\"https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..zfMnDJuFTn4gRv38r0QyFw.Bukr6iGWV2bz-2lIT-d3gRnG5L61ENjIWv1eSEoHlv0TbqtGYSiwe4bCIIe_FfVCEJh02rc5aKWtT5pr8QfJtSmj2IvvBsX87AcVLpE-e6X4dtxeatmooRiAxibpHWxyUmFm1QkI4aRR2WhQZarc8ZdNZPso9OTqXW1C9pdyVp2bA3kJXh24G1UcrYr6T-6LDeaYlLkXOsgrBqAhpaLkAtO8usxYkI7vRgfW4oz8ndG_69hygfKc2sXjF1MRjhfrw1MTxypem9wpJzBCuIz3zR_3k0IIAWkIi65CBRCAK_-WKWyeB3cb8vEbS1oZB_uybnDKXUNra3E64Oxl28sfUSP0mnojv4hCDJn5BLJTITtYPz8xxyM2SThstwoeY_7fYmLQK7toXsek6b9GPq_qUvo9sG9SZJ_fiQW66YfUDC3wq4pYYSWiTAxnlqIt4gLLlqCLBtCiriyrasjHRUQ5JbUwqtnonaBwX4gIXFOQLeKhYR0dbudXOqaDr2sl-Nmjtv2IEtzqB2WTFVp2vbtr_AyTTD95xzgu8HE_JpM1BuJdEhdJX4PQdmuoUlkeJYiAxw16oRslFljkwGXjjOHVNYNboC8YzFQP9cAP7lD9tNaENQXpHL9oGptMZah5BXlVbIgUIx3T8FLncfptBs-vCErQDnae7AJoFXfxqkfcPQGinaKfNx7zfMFeX_LCd19r.OGoHN5pCLZQ1na_jCoCNiQ/__results___files/__results___31_9.png\" alt=\"\"></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1712155,
      "author_name": "carlosperez97",
      "author_url": "",
      "post_date": "03/04/2022 16:37:24",
      "content": "<p>Great!!! Would you recommend using the new price? Or continue with the current one?</p>\n<p>I would say that they don't matter as much but it really can help us to understand better customer behaviour (seeing how much do they really spend).</p>",
      "votes": null,
      "replies": [
        {
          "id": 1713077,
          "author_name": "tbierhance",
          "author_url": "",
          "post_date": "03/05/2022 16:47:15",
          "content": "<p>I think the rescaled price mostly matters for EDA.  It's just easier to associate attributes like \"cheap\", \"spends a lot\" or \"expensive\" when you know the price in your local currency. I think the rescaled price (*590) is in Euro, but I'm not 100% sure. If Euro is not your local currency, I recommend you check the prices at H&amp;M for your currency and rescale accordingly.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1717860,
      "author_name": "senn88",
      "author_url": "",
      "post_date": "03/10/2022 09:32:40",
      "content": "<p>Great finding!! <br>\nI checked the prices and images of the top 3 selling articles against those on the actual site to make sure that this scaling is more reliable.<br>\nAs a result, the top two (article_id=706016001,706016002) matched the price with its similar products, and the third article (article_id=372860001) matched both the image and price on <a href=\"https://www2.hm.com/de_de/productpage.0372860001.html\" target=\"_blank\">the site</a>. This result supports that your approach is more reliable.<br>\nThanks!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1718188,
      "author_name": "carlosdeinza",
      "author_url": "",
      "post_date": "03/10/2022 15:30:14",
      "content": "<p>Nice!</p>\n<p>After applying your scaling factor the cheapest transaction becomes $0.01 and the most expensive transaction becomes $349. Both of them seem reasonable, and the scaled values are much more intuitive than the raw ones.</p>\n<p>Thanks for the help!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1708666": "I think the prices might have been divided by 590. Look at the most frequent prices for the Jade Skinny Jeans (`article_id==706016001`) when multiplied with 590:\n\n| price*590 | count |\n| --: | --: |\n|14.39 | 500 |\n|14.99 | 425 |\n|15.99 | 3,510 |\n|16.99 | 928 |\n|17.99 | 3,136 |\n|18.00 | 128 |\n|18.39 | 124 |\n|18.66 | 155 |\n|18.99 | 232 |\n|19.99 | 34,760 |\n\nAnd the standard price for this jeans is 19.99 in [H&M's online store](https://www2.hm.com/de_de/productpage.0706016001.html).\n\nMost frequent prices over all transactions also look reasonable:\n\n| price*590 | count |\n| --: | --: |\n|4.99 | 1,074,468 |\n|7.99 | 1,497,769 |\n|9.99 | 3,416,921 |\n|12.99 | 1,287,249 |\n|14.99 | 3,266,926 |\n|17.99 | 1,221,011 |\n|19.99 | 3,406,538 |\n|24.99 | 1,485,660 |\n|29.99 | 1,494,130 |",
    "1709991": "Just for the record, if it is of interest, how I determined the factor:\n\n```\nfrom fractions import Fraction\nsmallest_price_diff = min(np.diff(np.sort(sales.price.unique())))\nFraction(smallest_price_diff).limit_denominator()\n```",
    "1710063": "Great work!! Now to crack the hashing algo and get the postcodes!",
    "1710347": "Great finding, thanks",
    "1711863": "Oh this is awesome, thanks!! \n\nI arbitrarily multiplied by 1000, just because at least the scale makes sense (albeit on a quite expensive end :D). Socks for 13$.. hmm yeah expensive but at least the magnitude are reasonable. But at $7 using the 590 above it makes more sense for sure :D. \n[Notebook reference](https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis)\n\n![](https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..zfMnDJuFTn4gRv38r0QyFw.Bukr6iGWV2bz-2lIT-d3gRnG5L61ENjIWv1eSEoHlv0TbqtGYSiwe4bCIIe_FfVCEJh02rc5aKWtT5pr8QfJtSmj2IvvBsX87AcVLpE-e6X4dtxeatmooRiAxibpHWxyUmFm1QkI4aRR2WhQZarc8ZdNZPso9OTqXW1C9pdyVp2bA3kJXh24G1UcrYr6T-6LDeaYlLkXOsgrBqAhpaLkAtO8usxYkI7vRgfW4oz8ndG_69hygfKc2sXjF1MRjhfrw1MTxypem9wpJzBCuIz3zR_3k0IIAWkIi65CBRCAK_-WKWyeB3cb8vEbS1oZB_uybnDKXUNra3E64Oxl28sfUSP0mnojv4hCDJn5BLJTITtYPz8xxyM2SThstwoeY_7fYmLQK7toXsek6b9GPq_qUvo9sG9SZJ_fiQW66YfUDC3wq4pYYSWiTAxnlqIt4gLLlqCLBtCiriyrasjHRUQ5JbUwqtnonaBwX4gIXFOQLeKhYR0dbudXOqaDr2sl-Nmjtv2IEtzqB2WTFVp2vbtr_AyTTD95xzgu8HE_JpM1BuJdEhdJX4PQdmuoUlkeJYiAxw16oRslFljkwGXjjOHVNYNboC8YzFQP9cAP7lD9tNaENQXpHL9oGptMZah5BXlVbIgUIx3T8FLncfptBs-vCErQDnae7AJoFXfxqkfcPQGinaKfNx7zfMFeX_LCd19r.OGoHN5pCLZQ1na_jCoCNiQ/__results___files/__results___31_9.png)",
    "1712155": "Great!!! Would you recommend using the new price? Or continue with the current one?\n\nI would say that they don't matter as much but it really can help us to understand better customer behaviour (seeing how much do they really spend).",
    "1713077": "I think the rescaled price mostly matters for EDA.  It's just easier to associate attributes like \"cheap\", \"spends a lot\" or \"expensive\" when you know the price in your local currency. I think the rescaled price (*590) is in Euro, but I'm not 100% sure. If Euro is not your local currency, I recommend you check the prices at H&M for your currency and rescale accordingly.",
    "1717860": "Great finding!! \nI checked the prices and images of the top 3 selling articles against those on the actual site to make sure that this scaling is more reliable.\nAs a result, the top two (article_id=706016001,706016002) matched the price with its similar products, and the third article (article_id=372860001) matched both the image and price on [the site](https://www2.hm.com/de_de/productpage.0372860001.html). This result supports that your approach is more reliable.\nThanks!",
    "1718188": "Nice!\n\nAfter applying your scaling factor the cheapest transaction becomes $0.01 and the most expensive transaction becomes $349. Both of them seem reasonable, and the scaled values are much more intuitive than the raw ones.\n\nThanks for the help!",
    "1749205": "Thanks for sharing."
  },
  "source": "meta"
}