Skip to content

Commit 372a27e

Browse files
Ajit Kumar SinghAjit Kumar Singh
Ajit Kumar Singh
authored and
Ajit Kumar Singh
committed
adding data source and data info
1 parent 2ff2aa3 commit 372a27e

File tree

3 files changed

+36
-0
lines changed

3 files changed

+36
-0
lines changed

.DS_Store

0 Bytes
Binary file not shown.

Datasets_Info.md

Lines changed: 12 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -33,4 +33,16 @@
3333
- `total`: Total visitors across all restaurants (numeric).
3434

3535

36+
### 5. `household_power_consumption.txt`
37+
- **Description**:The Household Power Consumption dataset is a multivariate time series dataset that describes the electricity consumption for a single household over four years. The data was collected between December 2006 and November 2010 and observations of power consumption within the household were collected every minute.
38+
- **Shape**: 2075259 rows and 7 columns.
39+
- **Columns**:
40+
- `global active power`: The total active power consumed by the household (kilowatts).
41+
- `global reactive power`: The total reactive power consumed by the household (kilowatts). ˆ voltage: Average voltage (volts).
42+
- `global intensity`: Average current intensity (amps).
43+
- `sub metering 1`: Active energy for kitchen (watt-hours of active energy).
44+
- `sub metering 2`: Active energy for laundry (watt-hours of active energy).
45+
- `sub metering 3`: Active energy for climate control systems (watt-hours of active energy).
46+
47+
3648
Each dataset can be used to illustrate different techniques and models in time series analysis and forecasting, ranging from basic methods to more advanced deep learning approaches. The variety in these datasets (from sales data to daily counts) provides a comprehensive resource for demonstrating different time series scenarios and methods.

Time_Series_Forecasting_With_CNNs.ipynb

Lines changed: 24 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -156,6 +156,30 @@
156156
"**Data Loading**"
157157
]
158158
},
159+
{
160+
"cell_type": "code",
161+
"execution_count": 459,
162+
"metadata": {},
163+
"outputs": [
164+
{
165+
"name": "stdout",
166+
"output_type": "stream",
167+
"text": [
168+
"--2024-01-28 14:12:17-- https://archive.ics.uci.edu/static/public/235/individual+household+electric+power+consumption.zip\n",
169+
"Resolving archive.ics.uci.edu (archive.ics.uci.edu)... 128.195.10.252\n",
170+
"Connecting to archive.ics.uci.edu (archive.ics.uci.edu)|128.195.10.252|:443... connected.\n",
171+
"HTTP request sent, awaiting response... 200 OK\n",
172+
"Length: unspecified\n",
173+
"Saving to: 'individual+household+electric+power+consumption.zip'\n",
174+
"\n",
175+
"tion.zip [ <=> ] 4.23M 284KB/s ^C\n"
176+
]
177+
}
178+
],
179+
"source": [
180+
"!wget https://archive.ics.uci.edu/static/public/235/individual+household+electric+power+consumption.zip"
181+
]
182+
},
159183
{
160184
"cell_type": "code",
161185
"execution_count": null,

0 commit comments

Comments
 (0)