Not able to read or load file using Auto viz

[gbogobabs]

I am having the above error while using autoviz My target variable is price i even tried it using empty target variable still same result i dont know the problem I tried dataframe, still same issue meanwhile i as able to read my data with pandas but autoviz could no house_price.zip i attached Zip file of the data because it was large kindly assist

[AutoViML]

Hi @gbogobabs 👍 You can upgrade to the minor big fix version now:

pip install autoviz --upgrade

But I noticed that your dataset does not have any numeric vars. So you must first convert at least one or two variables to numeric before using AutoViz since it does not visualize an all-categorical dataset. You can use our other library 'lazytransform' to convert your dataset to numeric.

Hope this helps.

[gbogobabs]

Hello AutovizTeam,

I have been able to do an upgrade on Autoviz But the second library you recommended (lazytransform), I am having a difficult time installing. I left my laptop for 2 hours still the library did not install. I had to stop the process I don't know what the issue might be. Kindly assist I use 8GB RAM and 50GB HDD

---

From: Home of AutoViz, AutoViML and featurewiz @.> Sent: 18 July 2022 16:10 To: AutoViML/AutoViz @.> Cc: Ruth Babatunde @.>; Mention @.> Subject: Re: [AutoViML/AutoViz] Not able to read or load file using Auto viz (Issue #73)

Hi @gbogobabshttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fgbogobabs&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MOQVAwYJk4EJ9YGAx1KDPwYBhPYQylZ7HrD35oNBjJM%3D&reserved=0 👍 You can upgrade to the minor big fix version now:

pip install autoviz --upgrade

But I noticed that your dataset does not have any numeric vars. So you must first convert at least one or two variables to numeric before using AutoViz since it does not visualize an all-categorical dataset. You can use our other library 'lazytransform' to convert your dataset to numeric. [house_price]https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fuser-images.githubusercontent.com%2F51647480%2F179543067-65903a9d-b5c4-4ff3-9798-12c746c89bca.png&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=YLCjfONnXUfP%2FI%2By17J33Hjcr6VfST7JJwm34giFTyw%3D&reserved=0

Hope this helps.

— Reply to this email directly, view it on GitHubhttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FAutoViML%2FAutoViz%2Fissues%2F73%23issuecomment-1187621530&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=lVbJ6fZxdIiPIGn%2FH%2BpBWUq3J5YhOWR20gZDfZdOTDg%3D&reserved=0, or unsubscribehttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FAV746DO2XG3YV2CW6TKUY23VUVXXFANCNFSM53XZ3U2A&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=m3TNqVckDKVanT3VQXJEOSnswJpFaCiHvcuyhhbjdMs%3D&reserved=0. You are receiving this because you were mentioned.Message ID: @.***>

[AutoViML]

Hello @gbogobabs 👍 You can try reading the installation instructions on this page: https://github.com/AutoViML/lazytransform

Or you can try using Kaggle or Colab notebooks which are easier to use. Here is a Kaggle notebook that uses LazyTransform: https://www.kaggle.com/code/rsesha/lazytransform-heartdisease-accuracy-77

[gbogobabs]

Hello, Thank you for your mail I have the second column which is price as numeric but i will covert some and revert

Thanks

---

From: Home of AutoViz, AutoViML and featurewiz @.> Sent: 18 July 2022 16:10 To: AutoViML/AutoViz @.> Cc: Ruth Babatunde @.>; Mention @.> Subject: Re: [AutoViML/AutoViz] Not able to read or load file using Auto viz (Issue #73)

Hi @gbogobabshttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fgbogobabs&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MOQVAwYJk4EJ9YGAx1KDPwYBhPYQylZ7HrD35oNBjJM%3D&reserved=0 👍 You can upgrade to the minor big fix version now:

pip install autoviz --upgrade

But I noticed that your dataset does not have any numeric vars. So you must first convert at least one or two variables to numeric before using AutoViz since it does not visualize an all-categorical dataset. You can use our other library 'lazytransform' to convert your dataset to numeric. [house_price]https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fuser-images.githubusercontent.com%2F51647480%2F179543067-65903a9d-b5c4-4ff3-9798-12c746c89bca.png&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=YLCjfONnXUfP%2FI%2By17J33Hjcr6VfST7JJwm34giFTyw%3D&reserved=0

Hope this helps.

— Reply to this email directly, view it on GitHubhttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FAutoViML%2FAutoViz%2Fissues%2F73%23issuecomment-1187621530&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=lVbJ6fZxdIiPIGn%2FH%2BpBWUq3J5YhOWR20gZDfZdOTDg%3D&reserved=0, or unsubscribehttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FAV746DO2XG3YV2CW6TKUY23VUVXXFANCNFSM53XZ3U2A&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=m3TNqVckDKVanT3VQXJEOSnswJpFaCiHvcuyhhbjdMs%3D&reserved=0. You are receiving this because you were mentioned.Message ID: @.***>